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data with computational modeling Programming skills in Python, R, or another relevant language. Interest in machine learning, statistical modeling, structural bioinformatics, or analysis of large-scale
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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Data-Driven Life Science (DDLS) programme. We have a national mission and develop services for life science data and e-infrastructure, as well as work with issues related to FAIR principles, open science
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predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will
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the deadline. We would appreciate it if your application is written in English. Since it will be examined by international experts, English is the working language. Teaching positions: Instruction and
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that the application is complete in accordance with the University’s instructions, and that it is submitted before the deadline. We would appreciate it if your application is written in English. Since it will be