20 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" Postdoctoral positions in Belgium
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Researcher to support research and development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial
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visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The candidate will be funded through a Research, Development, and Innovation (RDI) project with a leading energy
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Bioinformatics, Computational Biology, Biology, Computer Science, or a closely related field with computational training Function Research Support Scheduled Weekly Hours: 40 Saint Louis University is an
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the supervision of Professor Niovi Vavoula, Chair in Cyber Policy, with Dr Sergio Coronado (Adjunct Professor at the U and Luxembourg Tech School A.s.b.l.). Your role Conduct research and contribute
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, funded by budgets of the department EA11. This implies that we offer u a full-time position in the department EA11. Your appointment will start on 1 March 2027 at the earliest. Your remuneration will be
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interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms. The project will consider different types of epidemic models
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funded interdisciplinary research project of the VUB, introduces a new research framework that treats archaeological prospection as a sequential decision-making process explored through computational
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an asset; You have a solid background in mechanics of materials, computational mechanics and experience with finite element simulations and optimization. You have expertise in the use of finite
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prospection as a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that
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assessment, and validation procedures; Work with clinical, public health, environmental, and technical partners to translate research questions into well-defined computational studies; Prepare