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, computer science, population biology or a similarly quantitative discipline.
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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contact Julien Schleich, Tel. +352 46 66 44 5337, email: Your profile PhD in Artificial Intelligence, Data Science, Educational Technology, Computer Science, or a related field Solid research background in
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Intelligence, Data Science, Educational Technology, Computer Science, or a related field Solid research background in one or more HPC domains, with an interest in interdisciplinary and applied research
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. Qualifications Ph.D. in Physics, Materials Science, or a related field. Hands-on experience with cleanroom nanofabrication. Familiarity with transport experiments (thermal, electrical) is a plus. Strong analytical
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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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 Microbial Evolutionary Genomics lab (head: Eduardo Rocha) at the Institut Pasteur in Paris is inviting applications for a postdoctoral position in comparative genomics, computational biology
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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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, particularly in the context of wave equations. Proficiency in numerical implementation and computational methods will be appreciated. Candidates with a PhD in semiclassical analysis who are keenly interested in