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PhD student Machine learning-based tools for multiparametric enzyme optimisation Prodovdec. . .
• Berlin
Homeoffice möglich Werkstudenten
[. .. ] Validation of the developed models on new data coming from the project Integration of those models into reliable, user-friendly, state-of-the-art tools for protein engineering pipelines Main
MEHR INFOS ZUM STELLENANGEBOT
[...] class=highlight_text>supervisor: Stanislav Mazurenko, Masaryk University, Brno, Czech Republic Co-supervisor 1: Carlos Acevedo, DTU, Denmark Co-supervisor 2: Jelena Ivanovska, Provolut, Berlin, Germany Qualifications MSc degree in Computational Biology, Machine Learning, Bioinformatics, Biotechnology or related discipline Experience with computational tools for protein engineering or machine learning Demonstrated ability in biological data analysis Excellent English proficiency Excellent
communication skills for working within an interdisciplinary research team Strong analytical skills and ability to work independently Preferred qualifications (not mandatory) Proficiency in Python or another programming language Familiarity with protein modelling and analysis tools like Alpha Fold, Boltz, Py MOL, Chimera Experience developing machine learning models Interest in advanced computational methods [. .. ] Ph D study programme, please see Doctoral degree study programme Faculty of Science MU. We offer An interesting job in a dynamically expanding university area Flexible working hours and occasional home
office to support personal needs in family and career compatibility Employee benefits such as 6 weeks of paid vacation per year, pension insurance contribution or nursery/ childrens group allowance, a financial meal allowance, Multisport card, vaccinations free of charge, discounted language courses, exclusive mobile tariff offer, childcare groups at Campus and [. .. ]
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