Neural Modeling Stellenangebote


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67 Jobs für Neural Modeling


Stellenangebote Neural Modeling Jobs


Job am 26.11.2025 bei StepStone gefunden N26 GmbH

Senior Data Scientist

• Berlin Homeoffice möglich [. .. ] implementations in the prototyping, development, and productionizing of machine learning solutions, particularly in banking applications such as fraud detection and credit risk. Deep, hands-on experience with a [...]
MEHR INFOS ZUM STELLENANGEBOT[...] variety of modeling techniques, including: Classification models: (e. g. , Cat Boost, XG Boost, Light GBM) Regression models: (e. g. , Cat Boost, XG Boost, Light GBM) Time Series Analysis: (e. g. , ARIMA, SARIMA, Prophet) Unsupervised Models: (e. g. , clustering, anomaly detection such as Isolation Forest) Strong programming skills, specifically in Python and SQL. Basic infrastructure knowledge is needed (e. g. , microservices, Docker/ containers, CI/ CD, Git Hub Actions) . Foundational knowledge of Deep Learning is needed, including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like Tensor Flow, Keras, or Py Torch. Good understanding of common machine learning algorithms and a proven ability to teach and mentor junior data scientists. You are creative, organised, self-motivated, and able to drive ambitious data science projects to success from [. .. ]

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Job vor 2 Tagen bei Jooble gefunden University of Maryland Global Campus Introduction to Bioinformatics, Department of Applied Sciences and Professional Studies-Adjunct Faculty • Homeoffice [. .. ] bioinformatics. Emphasis is on the interpretation of data. Topics include new, sophisticated DNA, RNA, and protein sequence analyses and pattern recognition and DNA computing, as well as [...]
MEHR INFOS ZUM STELLENANGEBOT[...] more traditional mathematical modeling (using Bayesian probability and basic algorithms, machine learning and neural networks, and Markov models and dynamic programming) . Discussion also covers the analysis of tridimensional structures, phylogenic relationships, and genomic and proteomic data. REQUIRED EDUCATION AND EXPERIENCE: Terminal degree in Biotechnology, Molecular Biology, or related field from an accredited institution of higher learning. Professional experience in Biotechnology or a related [. .. ]

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Job vor 4 Tagen bei Jooble gefunden Cortea AI Jobs

Senior Data Engineer (Search Platform) (m/f/x)

• Berlin [. .. ] behind them. Youll work closely with product, design, and founders to turn messy, real-world documents into precise answers. What youll do Build and tune retrieval and ranking: [...]
MEHR INFOS ZUM STELLENANGEBOT[...] lexical + neural Own evaluation: datasets, metrics, dashboards, and regressions Design data pipelines for ingestion, enrichment, and classification Ship production code: Python services, APIs, SQL models, tests Improve relevance through experimentation and systematic analysis Qualifications 5+ years as a software engineer or applied scientist with hands-on information retrieval work Data engineering experience IR fundamentals: BM25, TF-IDF, and neural retrieval Evaluation: comfortable with NDCG, MRR, and when to use each Data software: Python (asyncio, type hints, pandas) and strong SQL (modeling, window functions, CTEs, optimization) Production APIs: design, implementation, and maintenance Bonus Ranking systems: learning-to-rank, re-ranking, relevance tuning Distributed compute/ orchestration: Spark, Ray, or Temporal Search engines: Elasticsearch/ Open Search at scale Warehouses: Big Query, Snowflake, or similar Post-training LMs for retrieval/ ranking No one checks every [. .. ]

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Job vor 5 Tagen bei Jooble gefunden Universität Duisburg- Essen A Research Scientist (m/f/d) (up to German pay grade E14 TV-L for 1, 0 FTE) • Duisburg [. .. ] on novel simulation technology for computing the material behavior of materials with a random microstructure. The goal is to build up a groundbreaking multiscale methodology, taking into [...]
MEHR INFOS ZUM STELLENANGEBOT[...] account the latest neural-network technology and screening the spurious boundary layers which arise for digital volume images of microstructures. Upon completion of the project, a significant boost for the nonlinear mechanics of heterogeneous materials and lightweight design is expected, providing multiscale methods with more expressive results in shorter time for larger classes of [. .. ] Deep Material Networks or an extension thereof. Job description: Cutting-edge research in computational micromechanics, in particular solution methods based on the Fast Fourier Transform (FFT) , or multi-scale modeling of engineering materials like fiber composites, foams, polycristalline materials extend Deep Material Networks to uncertainty quantification simulation studies for a variety of random materials, including fiber structures, foams and polycrystalline materials analysis, interpretation and assessment of simulation results discussion of results within an international research team writing and submitting of [. .. ]

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Job vor 10 Tagen bei Jooble gefunden Universitätsklinikum Schleswig- Holstein

Research scientist/ PhD position (m/f/d) in computational and mathematical oncology

• Kiel [. .. ] with clinical and basic oncology researchers, bioinformatics experts, and clinicians enables an interdisciplinary research environment driven by team science. We use and further develop methods from evolutionary [...]
MEHR INFOS ZUM STELLENANGEBOT[...] dynamics, stochastic processes, neural network modeling, machine learning, and bioinformatics to advance our understanding of ALL evolution and improve personalized treatment selection and patient care. Start in our team We are looking for professional and competent support to start as soon as possible, limited for 4 years. What we offer: The salary will be based on [. .. ]

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Job am 14.01.2026 bei Jooble gefunden XU Exponential University of Applied Sciences GmbH Professorship in Data Science and Artificial Intelligence (m/f/d) • Potsdam [. .. ] Research Focus: While a broad understanding of the field is expected, we seek a candidate who can deepen at least one of the following core areas: Machine [...]
MEHR INFOS ZUM STELLENANGEBOT[...] Learning Deep Learning: Neural networks, foundation models, reinforcement learning. Applied AI: Computer Vision, Image Processing, or Natural Language Processing (NLP) . Data Science: Statistical modeling, predictive analytics, and data mining. Trustworthy AI: Explainability (XAI) , fairness, and AI ethics in practice. Requirements ( 43 Bbg HG) : Completed university degree and a Ph D ( magna cum laude or equivalent) . Pedagogical aptitude for teaching in English. Minimum of 3 years professional experience, of which at least [. .. ]

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Job am 14.01.2026 bei Jooble gefunden Protect AI

Senior Applied Researcher-NLP

• Berlin [. .. ] and safety research advancements, attend conferences, and actively contribute to the security community through publications and presentations. Qualifications: Significant practical experience in building and deploying machine learning, [...]
MEHR INFOS ZUM STELLENANGEBOT[...] deep learning, and neural networks, from ideation to production, in academia or industry settings. Advanced knowledge in Deep Learning as applied to Natural Language Processing (NLP) tasks, such as text classification, feature extraction, sentiment analysis, topic modeling, and named entity recognition. Demonstrated ability to transform cutting-edge research into viable prototypes, with experience in novel NLP models to solve real-world problems. Strong Python programming skills and familiarity with deep learning frameworks like Py Torch or Tensor Flow, including experience with fine-tuning LLMs or other transformer-[. .. ]

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Job vor 4 Tagen bei Jooble gefunden Delivery Hero Staff Data Scientist-Ad Tech Ranking • Berlin Sabbaticals [. .. ] , Neur IPS, ICML, KDD) . Knowledge of calibration techniques and advanced methodologies to ensure prediction and decision reliability in high-stakes environments. Deep familiarity with Transformer-based architectures [...]
MEHR INFOS ZUM STELLENANGEBOT[...] or Graph Neural Networks for modeling complex user-item and market interactions. Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if youre in good shape, then were in good shape. Make the most of our hybrid working model and join the team for face-[. .. ]

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Job vor 5 Tagen bei Jooble gefunden autonomous- teaming

AI Sound Engineer (m/w/d) - UAV Detection Acoustic Signal Processing

• München Your mission Develop and deploy AI-driven acoustic sensing systems for UAV detection, classification, localization, and tracking Design, train, and extend custom neural network architectures for analyzing acoustic signatures, noise [...]
MEHR INFOS ZUM STELLENANGEBOT[...] patterns, and audio anomalies Optimize real-time audio signal processing pipelines for UAV swarm coordination, defense systems, and stealth detection Apply microphone array processing, acoustic beamforming, Doppler analysis, and advanced noise reduction techniques to improve UAV audio sensing performance Lead hands-on efforts [. .. ] and frameworks Nice To Have: Experience with acoustic sensing in military or defense environments, including UAV surveillance and stealth detection Knowledge of psychoacoustics, bio-inspired hearing models, or advanced acoustic modeling Familiarity with ROS-based systems, real-time environments, and C++ Experience deploying, optimizing, and maintaining machine learning models in production or embedded systems Background in adversarial AI for sound recognition, acoustic anomaly detection, or sonar intelligence Meta: Intrinsic motivation, attention to detail, and strong problem-solving mindset Creative thinker with [. .. ]

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Job vor 9 Tagen bei Jooble gefunden PhD Generic AI Regression Models for Early Phase Crash Design (f/m/x) • München [. .. ] to validate and refine the model and application. You will also assist in preparing and presenting research findings for scientific journals and conferences, advancing vehicle passive safety [...]
MEHR INFOS ZUM STELLENANGEBOT[...] and data-driven modeling. What should you bring along? Studies in computer science, data science, mechanical engineering or mathematics. Strong background in machine learning, with experience in neural network architectures and regression modeling; experience with large-scale foundation models is a plus. Familiarity with programming languages and tools for data processing, model development, and integration (e. g. , Python, Tensor Flow) . Experience in handling large-scale simulation databases and extracting relevant training data. Excellent analytical and problem-[. .. ]

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Job vor 5 Tagen bei Stellen-Online.de gefunden Universität Duisburg- Essen

A Research Scientist (m/f/d) (up to German pay grade E14 TV-L for 1, 0 FTE) - Vollzeit, Teilzeit, Homeoffice

• Duisburg, 47057, 47051 Teilzeit Homeoffice möglich [. .. ] on novel simulation technology for computing the material behavior of materials with a random microstructure. The goal is to build up a groundbreaking multiscale methodology, taking into [...]
MEHR INFOS ZUM STELLENANGEBOT[...] account the latest neural-network technology and screening the spurious boundary layers which arise for digital volume images of microstructures. Upon completion of the project, a significant boost for the nonlinear mechanics of heterogeneous materials and lightweight design is expected, providing multiscale methods with more expressive results in shorter time for larger classes of [. .. ] Deep Material Networks or an extension thereof. Job description: Cutting-edge research in computational micromechanics, in particular solution methods based on the Fast Fourier Transform (FFT) , or multi-scale modeling of engineering materials like fiber composites, foams, polycristalline materials extend Deep Material Networks to uncertainty quantification simulation studies for a variety of random materials, including fiber structures, foams and polycrystalline materials analysis, interpretation and assessment of simulation results discussion of results within an international research team writing and submitting of [. .. ]

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Job vor 2 Tagen bei Mindmatch.ai gefunden ETH get hired PhD Position in Hierarchical Graph Neural Networks for Multi-Scale Urban Energy Systems • AT- 2 Lavamünd Ph D Position in Hierarchical Graph Neural Networks for Multi-Scale Urban Energy Systems 13.01.2026 Materials science and technology are our passion. With our cuttingedge research, Empas around 1, 100 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] employees make essential contributions to the wellbeing of society for a future worth living. Empa is a research institution of the ETH Domain. The Urban [. .. ] practical implementation, always grounded in realworld urban challenges. Together, UESL and IMOS are seeking a motivated and qualified Ph D candidate to advance the use of hierarchical graph neural networks for modeling multiscale urban energy systems. By combining advances in Physics Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with realworld energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from buildinglevel energy demand to districtscale interactions and their integration with [. .. ]

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Job vor 2 Tagen bei Mindmatch.ai gefunden Technische Universität Wien

Forscher (Postdoktorand)

• AT- 9 Wien Homeoffice möglich [. .. ] for Adaptive Wireless Communication Systems This project investigates self-supervised learning (SSL) for wireless communication systems to improve the adaptability, efficiency, robustness, and scalability of next-generation networks. While [...]
MEHR INFOS ZUM STELLENANGEBOT[...] deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural language processing and computer vision reveal the even greater potential of general-purpose foundation models. These models, pre-trained by SSL on diverse datasets and fine-tuned for specific tasks, offer superior generalization and transferability [. .. ] capable of sustainably addressing the growing complexity of modern wireless networks. Our central goal is to develop and realize novel SSL techniques such as contrastive representation learning, masked or predictive modeling, and consistency-based self-supervisionbased on high-dimensional wireless CSI, with the aim of learning transferable representations for downstream PHY/ MAC processing tasks. https:/ / Conduct research on AI-enhanced 6G mobile wireless communication systems, with emphasis on PHY and MAC layer methodologies. Develop self-supervised representation learning frameworks for [. .. ]

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Job am 23.12.2025 bei Jobleads gefunden BRAINET Doctoral Network to research Transcalvarial Wireless Brain Stimulators [. .. ] external systems. Ideally, the DC holds an MSc EE degree with specialization in microelectronics, with strong interest in signal processing and communication theory. The doctoral candidate will [...]
MEHR INFOS ZUM STELLENANGEBOT[...] develop CMOS-integrated neural interface ASICs for inter-implant communication and synchronization, development of arbitrary-waveform stimulation and low-noise recording front-ends with on-chip neural data pre-processing for embedded operation in the implant. Ideally, the DC holds an MSc EE degree with specialization in microelectronics, with strong interest in signal processing [. .. ] of Essex, United Kingdom : The doctoral candidate will investigate the feasibility of multiphysical communication interfaces and characterize the unique signal propagation properties of the intracranial environment. The project involves modeling the biophysical constraints of cranial tissue to develop an optimized system that enables simultaneous networked power and information transfer (SWIPT) . The DC will design and validate communication protocols tailored to these specific biological constraints. This position is suitable for candidates with backgrounds in Biomedical Engineering, Wireless Communications, Electronic Engineering, [. .. ]

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Job vor 2 Tagen bei Jobleads gefunden

AI Sound Engineer (m/w/d) UAV Detection Acoustic Signal Processing

• München, Bayern [. .. ] Permanent employee, Full-time Munich (DEU) , Toulouse Your mission Develop and deploy AI-driven acoustic sensing systems for UAV detection, classification, localization, and tracking Design, train, and extend [...]
MEHR INFOS ZUM STELLENANGEBOT[...] custom neural network architectures for analyzing acoustic signatures, noise patterns, and audio anomalies Optimize real-time audio signal processing pipelines for UAV swarm coordination, defense systems, and stealth detection Apply microphone array processing, acoustic beamforming, Doppler analysis, and advanced noise reduction techniques to improve UAV audio sensing performance Lead hands-on efforts [. .. ] and frameworks Nice To Have Experience with acoustic sensing in military or defense environments, including UAV surveillance and stealth detection Knowledge of psychoacoustics, bio-inspired hearing models, or advanced acoustic modeling Familiarity with ROS-based systems, real-time environments, and C++ Experience deploying, optimizing, and maintaining machine learning models in production or embedded systems Background in adversarial AI for sound recognition, acoustic anomaly detection, or sonar intelligence Meta Intrinsic motivation, attention to detail, and strong problem-solving mindset Creative thinker with [. .. ]

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Job vor 3 Tagen bei Jobleads gefunden Sr. AI/ ML Engineer, Video (Technology Office) • Lausanne, Waadt [. .. ] of the art in the field. Contribute to the definition of the Technology Offices exploration agenda, fostering breakthrough innovation. Be responsible for the entire model lifecycle: designing [...]
MEHR INFOS ZUM STELLENANGEBOT[...] and training nextgeneration neural networks at scale, then mastering the optimization and porting techniques to deploy them on embedded systems. Be working with a multidisciplinary team. Champion best practices to turn cuttingedge research into robust and innovative solutions that define the future of humanmachine interaction. Key Qualifications Min. 7 years of relevant work and/[. .. ] communication skills. Preferred Qualifications Design, training, evaluation and optimization of deep neural networks, e. g. CNNs, RNNs, GANs, GNNs, transformers, etc. SLM and VLM are a plus. Knowledge of loss modeling, multimodal training, supervised, unsupervised and selfsupervised learning. Deep learning framework such as Py Torch, Tensorflow and Tiny ML, as well as ONNX models representation. Familiarity with cloud computing platforms or HPC environments for largescale model training. General purpose programming languages, including Python, C/ C++, C # and Java. SW development on [. .. ]

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Job vor 4 Tagen bei Jobleads gefunden

Research Scientist, Institute of Engineering Mathematics (m/f/d) 021-26

• Essen, Nordrhein- Westfalen [. .. ] on novel simulation technology for computing the material behavior of materials with a random microstructure. The goal is to build up a groundbreaking multiscale methodology, taking into [...]
MEHR INFOS ZUM STELLENANGEBOT[...] account the latest neural-network technology and screening the spurious boundary layers which arise for digital volume images of microstructures. Upon completion of the project, a significant boost for the nonlinear mechanics of heterogeneous materials and lightweight design is expected, providing multiscale methods with more expressive results in shorter time for larger classes of [. .. ] Field Engineering Computer engineering Education Level Ph D or equivalent Skills/ Qualifications MSc or Ph D in engineering or natural sciences, applied mathematics or related fields strong background in continuum mechanics, material modeling or numerical methods excellent coding skills in Python and C/ C++ an aptitude for theoretical and computationally oriented research good team-working and communication skills excellent English skills, both written and spoken #J-18808-Ljbffr 78337603 [. .. ]

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Job vor 6 Tagen bei Jobleads gefunden Quantitative Python Engineer (m/f/x) • Wien [. .. ] comparable cloud platforms, and are comfortable building and deploying cloud-native applications. You have expertise in at least one of the following domains: Quantitative research areas such as [...]
MEHR INFOS ZUM STELLENANGEBOT[...] econometrics, factor modeling, or algorithmic trading. Environmental or meteorological data modeling. Applied machine learning, including deep learning and neural networks. Robotics systems or sensor network integration. You have English language skills at C1 level and basic knowledge of German. How to apply Does this sound interesting to you? :) Apply now as a Quantitative Python Engineer (m/f/x) in Vienna and send your resume to Liv Mintye at [. .. ]

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Job vor 6 Tagen bei Jobleads gefunden

Data Scientist

• Fully, Wallis [. .. ] IPTW, RDD, and other quasiexperimental approaches. Develop and validate statistical models to estimate treatment effects and assess program impact. Integrate machine learning algorithms (e. g. , random [...]
MEHR INFOS ZUM STELLENANGEBOT[...] forests, gradient boosting, neural networks) into predictive models using claims, EHR, SDOH, and clinical registry data. Work with structured and unstructured healthcare data to engineer features from demographics, clinical history, utilization patterns, costs, and SDOH. Build and refine predictive models for risk stratification and disease progression using longitudinal and timetoevent analysis. Collaborate with clinical, [. .. ] (e. g. , matching, weighting, Di D) and performing sensitivity checks like parallel trends, placebo tests, and falsification strategies. Exploring and preparing healthcare datasets (claims, EHR, SDOH) and engineering features for modeling and evaluation. Estimating heterogeneous treatment effects to identify patient subgroups most likely to benefit from interventions. Developing predictive models for risk stratification, hospitalization risk, or highcost event prediction. Reviewing model performance, refining assumptions, and troubleshooting data or methodological issues. Collaborating with clinicians, operational leads, or caremanagement partners to interpret findings [. .. ]

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Job vor 7 Tagen bei Jobleads gefunden System Software Engineer (Neural Engine) - m/f/d • München, Bayern Summary The ANE Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon Description As a system software engineer in the Apple Neural Engine Software [...]
MEHR INFOS ZUM STELLENANGEBOT[...] team primarily focused on compiler, you will be expected to: Analyze and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms Develop compiler optimizations to improve latency/ bandwidth of our ML models Develop software across our compiler, framework, driver [. .. ] Excellent programming skills in C, C++ or Python Proficiency in English Preferred Qualifications MS or Ph D in computer science, machine learning or related field Experience in low level software architecture, modeling or validation Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics Proficiency with profiling and optimizing complex software Experience with So C low level software development, distributed computing or hardware acceleration Strong background in data science and statistical methods, with demonstrated ability to analyze [. .. ]

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Job vor 7 Tagen bei Jobleads gefunden Research Scientist • Heidelberg, Baden- Württemberg [. .. ] around generating synthetic world data, training and validating deep-learning models, creating and facilitating capable embedders for various domains and modalities. Youll have the opportunity to: design and [...]
MEHR INFOS ZUM STELLENANGEBOT[...] scale deep neural networks pre-trained on synthetic data for active learning and dynamic task solving develop new model architectures and datasets for real-world reasoning extend synthetic-data pipelines and evaluate across tasks and modalities collaborate on open-source initiatives and contribute to research publications Requirements The start-up is looking for research scientists with a strong background in one or more of these topics: active learning meta-learning modeling of complex and evolving systems reinforcement learning Bayesian learning, Bayesian optimization Recommended qualifications: a Ph D in ML, Physics, or equivalent or MSc with exceptional experience a strong grasp of causality, meta-learning, PFNs, and active inference the ability to work independently and think from first principles hands-on experience with [. .. ]

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Job vor 7 Tagen bei Jobleads gefunden PhD student-Machine Learning (m/f/d) • Geesthacht, Schleswig- Holstein Werkstudenten Jobticket [. .. ] of innovative materials and manufacturing processes, especially for the transportation sector and medical technology. To this end, materials are tailored and manufacturing processes are designed to conserve [...]
MEHR INFOS ZUM STELLENANGEBOT[...] resources-from the modeling of material behavior to the development of the material to the finished component. Ph D position on physics-based machine learning modeling for materials and process design (m/f/d) Reference code: 2026/ WD 1 Commencement date: 01.02.2026 Work location: Geesthacht Application deadline: January 27th, 2026 The Institute of [. .. ] Your profile masters degree in mechanical engineering, materials science, computational engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as Py Torch preferably also background knowledge in computational mechanics and applied mathematics highly proficient in spoken and written English We offer you an exciting and varied job in a research centre with around 1, 000 employees from more than 60 nations a [. .. ]

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Job vor 7 Tagen bei Jobleads gefunden PhD Generic AI Regression Models for Early Phase Crash Design (f/m/x) • München, Bayern [. .. ] to validate and refine the model and application. You will also assist in preparing and presenting research findings for scientific journals and conferences, advancing vehicle passive safety [...]
MEHR INFOS ZUM STELLENANGEBOT[...] and data-driven modeling. What should you bring along? Studies in computer science, data science, mechanical engineering or mathematics. Strong background in machine learning, with experience in neural network architectures and regression modeling; experience with large-scale foundation models is a plus. Familiarity with programming languages and tools for data processing, model development, and integration (e. g. , Python, Tensor Flow) . Experience in handling large-scale simulation databases and extracting relevant training data. Excellent analytical and problem-[. .. ]

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Job vor 7 Tagen bei Jobleads gefunden Forscher (Postdoktorand) • Wien Homeoffice möglich [. .. ] for Adaptive Wireless Communication Systems This project investigates self-supervised learning (SSL) for wireless communication systems to improve the adaptability, efficiency, robustness, and scalability of next-generation networks. While [...]
MEHR INFOS ZUM STELLENANGEBOT[...] deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural language processing and computer vision reveal the even greater potential of general-purpose foundation models. These models, pre-trained by SSL on diverse datasets and fine-tuned for specific tasks, offer superior generalization and transferability [. .. ] capable of sustainably addressing the growing complexity of modern wireless networks. Our central goal is to develop and realize novel SSL techniques such as contrastive representation learning, masked or predictive modeling, and consistency-based self-supervisionbased on high-dimensional wireless CSI, with the aim of learning transferable representations for downstream PHY/ MAC processing tasks. https:/ / Conduct research on AI-enhanced 6G mobile wireless communication systems, with emphasis on PHY and MAC layer methodologies. Develop self-supervised representation learning frameworks for [. .. ]

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Job vor 9 Tagen bei Jobleads gefunden Senior Engineer Device Characterization and Modeling (f/m/div) • München, Bayern [. .. ] #We Are In for jobs that impact everyones life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior [...]
MEHR INFOS ZUM STELLENANGEBOT[...] Engineer Device Characterization and Modeling in our Research Development team, youll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in? Responsibilities Electrical measurements of device characteristics on wafer level for semiconductor devices (Si and Ga N) Extraction [. .. ] Knowledge of Wafer Pro Express and ICCAP software is a plus Knowledge of PDK structures and design systems Python programming skills; knowledge in the field of machine learning and artificial neural network is a plus Good understanding of technology processes, PDK development and design flow Fluent English skills, German is a plus Contact Carolina Moreira #We Are In for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and Io T, Infineon enables game-changing solutions for [. .. ]

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Häufig gestellte Fragen

Wieviele offene Stellenangebote gibt es für Neural Modeling Jobs bei unserer Jobsuche?

Aktuell gibt es auf JobRobot 67 offene Stellenanzeigen für Neural Modeling Jobs.


Wieviele Unternehmen suchen nach Bewerbern für Neural Modeling Jobs?

Aktuell suchen 20 Unternehmen nach Bewerbern für Neural Modeling Jobs.


Welche Unternehmen suchen nach Bewerbern für Neural Modeling Stellenangebote?

Aktuell suchen zum Beispiel folgende Unternehmen nach Bewerbern für Neural Modeling Stellenangebote:


  • N26 GmbH (2 Jobs)
  • University of Maryland Global Campus (1 Job)
  • Cortea AI Jobs (1 Job)
  • XU Exponential University of Applied Sciences GmbH (1 Job)


In welchen Bundesländern werden die meisten Neural Modeling Jobs angeboten?

Die meisten Stellenanzeigen für Neural Modeling Jobs werden derzeit in Niedersachsen (15 Jobs), Bayern (8 Jobs) und Berlin (8 Jobs) angeboten.


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