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as a member of the GHER contributing to the EU research project COMEDI in a consortium of 11 leading partners in the field of data assimilation and deep learning. A successful applicant will develop
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an advantage: plasma surface functionalization; electrode/electrolyte interfaces; battery degradation modelling; microstructure-resolved modelling; tomography or image-based electrode modelling; machine learning
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students. YOUR TASKS Our research at BogaertsLab focuses on the cognitive science of learning and language. This position is part of the FWO-funded project “Growing a Statistical Mind: The Interplay Between
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CLAIM project researchers. Participate in coordinating the research team. Where to apply E-mail [email protected] Requirements Research FieldCommunication sciencesEducation LevelPhD or equivalent
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of thousands of molecules in our fully automated high biosafety screening facility CAPS-IT against multiple viruses. You will be responsible for the development and deployment of advanced machine learning models
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Industrial Engineering and Operations Research. Good technical knowledge of probabilistic models and machine learning Basic knowledge of quality management in the manufacturing industry (e.g., SPC, FMEA, HACCP
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are seeking a highly motivated postdoctoral researcher to work on reinforcement learning methods for public health decision-making in the context of epidemic emergencies, with potential impact on public health
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of programming and implementing both back- and front-end solutions, using (open source) APIs. Evidence of being able to acquire additional funding (projects/scholarships) is a strong plus. You are willing to work
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academic journals and/or books that are widely disseminated and draw on peer review for the assessment of submitted manuscripts You possess the required level of Dutch to be able to teach in this language
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) biochemical and molecular biology, (2) human physiology, and (3) data-analysis, in the central context of human nutrition and health. You are willing to further acquire knowledge in these fields where needed