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, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated
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background, experience, techniques, language skills and other skills or experiences relevant for this position. Diplomas (MSc/MA/MD and PhD). List of publications, with an indication of the attached
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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience
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responsibilities As postdoc, your position is primarily research-focused but is also likely to involve teaching assignments. Teaching/supervision experience is therefore also a benefit. You will contribute
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data
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analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Proven experience with reinforcement learning algorithms and implementations. Experience in
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and/or entrepreneurship Experience with empirical research methods (quantitative and qualitative) Documented scientific publications or clear publication potential Interest in research on innovation and
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information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here. Appointment shall be in accordance with
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advantage. Experience in the design and execution of animal studies will also be highly advantageous. As a person, you have good interpersonal skills, are inclusive and team-oriented and able to contribute