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You will join the “Professional Learning & Technology” (PLT) section of the Faculty of Behavioural, Management & Social Sciences. The PLT section specializes in research on professional learning in and
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spectroscopies, as well as magnetic force- and scanning electron microscopy. You will collaborate closely with your theoretical partner in Utrecht, learning from theory to improve optical strategies and design
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you curious about complex systems and learning
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, and/or machine learning. Preferably you finished a master in Computer Science, (Applied) Mathematics or related masters. Expertise in the field of visualization or visual analytics. You have good
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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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psychology research; Motivation to collaborate with researchers and clinical psychologists, with the ability to work independently and accurately; Dutch B1 proficiency, or a commitment to learn in the first
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into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports
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, preferably in R or Python; Have, or will shortly acquire, a quantitative master's degree (for example, in Health Economics, Econometrics, Technical Medicine, Industrial Engineering, Biomedical Engineering
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knowledge of and/or experience with validation of prediction models (regression or supervised machine learning), health technology assessment, decision curve analysis, and/or value-of-information analysis