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statistics Contribute to an internationally competitive research team in Mathematical Statistics and Data Science at University of Luxembourg Take part in the scientific activities (seminars, colloquia
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
scientific fields Expertise in tissue engineering will be an asset. Good communication skills in spoken and written English are essential. Application: Interested candidates can submit their application with a
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of the project is to exploit such data to develop generative models for aptamer design. The candidate is expected to have a strong background in machine learning and statistical physics, with a real interest for
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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several partners relying on iron garnet films for their investigations, and notably for ultra-coherent magnonics at low temperatures. For more detailed information about the two positions (requirements
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Keywords Optogenetics, 2-photon activation, large scale electrophysiological recordings, mouse model Lab description Processing of auditory information in the brain is complex because information
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premier research institutes, home to 46 innovative teams working at the cutting edge of science, with a vibrant international community of researchers. Our institute is equipped with state-of-the-art
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning