72 engineering-computation-"https:"-"https:"-"https:"-"https:" positions in Luxembourg
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The ideal candidate applies machine learning and big data techniques to important questions in economics, combining advanced computational methods with sound economic theory to uncover insights
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mentioned in all correspondence) Contact: For further questions, please contact the Head of the Engineering department under francesco.viti@uni.lu
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engine based on reinforcement learning. The developed orchestrator thus consists in interconnecting existing open-sources tools for EASM with an orchestrator to be defined. This requires the definition and
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neurodegeneration, with a focus on chemical biology-based protein engineering, microscopy, and neuroimmune interactions. For more information, please visit our website . As a Laboratory Technician on our team, you
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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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engineering, microscopy, and chemical biology to investigate neuroimmune interactions and mechanisms underlying neurodegeneration, both through in vitro studies and in the context of neurological diseases. We
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backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network security, information assurance, satellite systems, vehicular
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Applications should include: A copy of the academic degrees awarded and, where candidates are currently enrolled to an academic programme leading to a Master’s degree, the expected date
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expansion. The postholder will also have the opportunity to contribute to the construction of a projected new Master’s programme and to teach within the doctoral and lifelong learning programmes
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centre of the University of Luxembourg, combining experimental, medical and computational approaches to analyze complex biological systems and disease processes. In this frame, the Medical Team aims