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skills (Matlab, Python). Ability to work with large datasets. Knowledge of basic statistics. Ability to work in an interdisciplinary team. At least 4 months of experience in research activities carried out
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to knowledge and truth that elicits excellence from all members of our community and prepares the next generation of leaders through a transformative educational experience. Job Description Job Summary: This
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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. The FEMALE project investigates what happens to this cell transfer when the placenta does not function optimally, and how fetal cell transfer may influence the mother’s health later in life. In particular
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of employment: 3 Years Hours of employment per week: 40h Responsibilities: Development, characterization, and optimization of polymer recyclates from post-consumer recycling (PCR) and end-of-life vehicles (ELV
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methodologies for assessing Local Energy Communities. Contribute to the integration of market and economic considerations into mathematical optimization models. Analyze electricity market structures, pricing
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multidisciplinary environment within WFBR, working closely with experts in food technology, microbiology and chemistry. Knowledge sharing is central to how we work: we meet several times a week in Wageningen to
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization