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or life-science discipline. Strong programming skills and experience with large-scale sequencing, genomics or comparable biological datasets are required. Experience with ribosome profiling, machine
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communication skills in English Demonstrated fit to one of the three research areas (a) to (c) listed above Proficiency in programming and data analysis in the statistical software environment R, Python, or
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genetics/genomics, bioinformatics, machine learning, data mining, and computational programming, including software or package development. The ideal candidate will hold a PhD in bioinformatics or
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. The Department aims to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational
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(including deep learning and/or reinforcement learning) numerical simulation of quantum dynamics Proven programming skills (e.g., Python/Julia/C++), including experience with scientific computing tools
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degree corresponds to the profile of the post. Documented knowledge of statistical theory and methods and core machine learning methods. Documented Python programming skills. Excellent skills in written
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, programming in R, Matlab or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted for evaluation by the
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programming softwares (Stata, R, Mplus or similar) is required Strong scientific writing skills and a track record of peer-reviewed publication is required The following qualifications will count in
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is an advantage if you have: Experience working with sensitive data in TSD Methodologal knowledge in cell sorting Basic programming skills (R/Python/Unix) Competence in statistics (R/SPSS/Stata
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/or attitude in the relevant areas is an advantage. Knowledge of computational methods for stochastics and programming skills. Knowledge in one or more of the following areas: Malliavin calculus