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Systems, Control, and Optimization group of the (Applied) Mathematics Department and will work under the supervision of Prof. Bart Besselink. The successful candidate should Have a keen interest in pursuing
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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You will join the UBIX Research Group (https://www.uni.lu/snt-en/research-groups/ubix/), led by Prof. Raphaël Frank, and work in close collaboration with the industrial partners that are part of
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for 2-3 PhD students interested in using real-world data to inform the pricing, reimbursement, and optimal use of healthcare technologies. This unique opportunity allows for cutting-edge research in
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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-track researcher position in: Enhancement of the PRO performance, particularly via membrane modification, optimization of operational condition and membrane cleaning strategies. This project will utilize
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offers a tenure-track researcher position in: Enhancement of the PRO performance, particularly via membrane modification, optimization of operational condition and membrane cleaning strategies
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of these oat cultivars in ruminant diets will be addressed and the main objective is to ensure optimal utilization of oats in the diet, and thereby to ensure that oats strengthen its position as a highly
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, environmental, climate and animal welfare impacts, the idea that alternative proteins can replace meat is generating hype, optimism and substantial investments. Whether involving insects, plants, lab-grown meat
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research challenges the PhD student might work on include: Indexing methods for dynamic, temporal, and streaming graphs Adaptive storage for static and dynamic graphs Workload-aware self-optimizing graph