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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate
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-Disciplinary Knowledge: PhD in the social sciences, preferably with a dissertation in sociology or anthropology Strong background in medical sociology or medical anthropology Familiarity with the hospital system
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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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strong expertise in techniques ranging from synthesis to characterization. Specific knowledge of water- and oxygen-sensitive polymerizations is highly desirable. Familiarity with a programming language
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 9 days ago
packages) Good knowledge of the ITK / VTK frameworks Good command of English Creativity, curiosity, perseverance ability to work in a collaborative environment and teamwork autonomy Additional Information
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research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong communication skills in English and good knowledge of French
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required (e.g., Python, Mathematica, Matlab). Some knowledge of nonequilibrium statistical mechanics (Boltzmann and Vlasov equations) and magnetism (spin dynamics, Landau-Lifshitz-Gilbert equation) is
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/Pytorch/scikitlearn deep learning platforms - Knowledge of biology and medical imaging methods: MRI, MRS - English: high level Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7348
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Experience with detector hardware and knowledge in silicon-based detectors - Expertise in C++ and python programming - Strong