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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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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/360007/phd-position
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dynamics to longer-term fluctuations driven by biological factors and learning. (3) Design and coordinate a large-scale data collection using a measurement-burst EMA approach to test the models and address
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machine-learning algorithms, and with lightning-fast Maxwell solvers for scattering simulations. You will not only work on the 3-D models in theory; you will also be trained in operating advanced microscopy
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system design? We
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pay of 8%. High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An