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, both with respect to drug resistance inference and transmission inference. You will work in a multidisciplinary research environment at the intersection of genomics, bioinformatics, epidemiology
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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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) at the University of Luxembourg offers a unique academic and research environment. Rooted in Luxembourg but with a European and international outlook, teaching and research benefit from the proximity of the European
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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. We value collaboration, creativity and mutual support. The successful candidate will join an internationally connected and interdisciplinary research environment that combines conceptual innovation
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) at the University of Luxembourg offers a unique academic and research environment. Rooted in Luxembourg but with a European and international outlook, teaching and research benefit from the proximity of the European
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) at the University of Luxembourg offers a unique academic and research environment. Rooted in Luxembourg but with a European and international outlook, teaching and research benefit from the proximity of the European
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publications and presentations Actively contribute to a critical, collaborative and results-driven research environment We are looking for a candidate who takes ownership of their project and can independently
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or a full reimbursement of public transport costs for commuting. You will do most of your work at the Middelheim campus in a dynamic and stimulating working environment. Find out more about working at
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journals. Experience with collaborative, multi-institutional research environments. Strong communication & coordination skills and a team-player attitude Experience/affinity with student