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looking for a full-time (100%) doctoral scholarship holder in the field of Process-structure-property relationships for a new class of biobased acrylic coatings. Position You will work actively on
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processing. The position is within the Cosys-Lab research group, under supervision of prof. Jan Steckel and prof. Walter Daems. Position You will work actively on the preparation and defence of a PhD thesis
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is a leading cause of disability affecting half a billion people worldwide and – when its main symptoms appear – it is usually too late to revert the pathological process. Importantly, low-cost and
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of Ukrainian and Swedish. At the same time you will test which computational models are most succesful in simulating this learning process. You will publish scientific articles related to the research project
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. In this project, we aim to determine the cause of this difference. You will contribute by processing human samples, establishing mouse models, and performing molecular studies. You publish scientific
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. You will contribute by processing human samples, establishing mouse models, and performing molecular studies. You publish scientific papers related to the research project. You take on a limited set of
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quantum information processing or quantum computation, e.g.: Published at database, verification, or knowledge representation and reasoning venues comparable to PODS, CAV, KR, or CP or at venues like QPL
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the pathological process. Importantly, low-cost and accessible tools for early detection are entirely lacking. The CircBioCare consortium is devoted to developing and implementing AI-informed early detection tools
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-selection, you will be informed about the possible next step(s) in the selection procedure. Please note the following dates in your calendar for possible interview: May, 28th , 2026. If you have any questions
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experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals. Your research qualities are in line with the faculty and university research policies . You