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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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1 – Learning Mobility of Individuals for Staff
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proteomics and immunopeptidomics, large-scale genomics, and machine learning to map novel translation products and test their potential as targets for diagnosis, immunotherapy, and drug development in cancer
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any time change or withdraw your consent from the Cookie Declaration on our website. Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy. Please
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for robotic manipulation applications. You will collaborate with researchers working on flexible electronics, sensing systems, machine learning and robotics, and disseminate your results through scientific
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well as data analysis. Preferably, you hold a valid category B driving licence and are able to communicate in Dutch. You are eager to learn and, after an initial training period, are capable of independently
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R, Excel, SPSS or you are interested to learn scientific programming. You have good communicative skills, and you have an open mindset to engage in collaborative and interdisciplinary research. You
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validate innovative methods for mapping soil compaction at the field scale by combining remote sensing, proximal sensing, and field measurements. You will develop and optimize machine-learning models
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methods from the digital humanities or is willing to acquire such expertise; The candidate demonstrates excellent research qualities, including intellectual curiosity, critical thinking, accuracy
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joint degree or double/multiple degrees. The joint study programme should lead to new jointly developed programme-level learning outcomes, but can be based on existing and/or newly developed course offer