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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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Master's degree in Epidemiology, Public Health or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma; Experience in working
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master’s degree in mathematics, physics or informatics with a strong knowledge in machine learning. Skills: Coding in Python and/or R is required. Previous knowledge in archaeology and zoo-archaeology would
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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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, copyrighted, or biased. By studying brain data recordings and building computational models that mimic real populations of neurons, the project aims to uncover active unlearning: how the brain learns
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may be extended for a further year to include the quantification of 107Pd and 126Sn. You have a PhD in analytical chemistry. You have : - Laboratory skills in chemical analysis using ICP-MS. - Skills in
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Pasteur/INSERM, Paris, France), Mark Brönstrup (chemistry, Helmholtz Centre for Infection Research, Braunschweig, Germany) and Christophe Zimmer (computational biology, University of Würzburg, Germany and
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to the ontogeny of health and disease. This project was selected for funding by the ERC-CoG-2024 call and the Impulscience program from fondation Bettencourt Schueller.
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neuroscience, biophysics, engineering, or related field. 2) Experience in one the following areas would be appreciated: in vivo electrophysiology, 2-photon imaging, optogenetics, microscopy. 3) Enthusiasm
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled