33 structures "https:" "https:" "https:" "https:" "https:" "IMT Atlantique" positions at Nature Careers in France
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voiture pour leurs trajets domicile- travail,” https://www.ouest-france.fr/economie/transports/voiture/les-trois-quarts-des-francais-continuent-dutiliser-la-voiture-pour-leurs-trajets-domicile-travail
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, execution-focused team. Key responsabilities: Lead experimental R&D on advanced material systems for thermal sensing devices Use modelling and structured experimentation to select and converge on top
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aggregation assays is a plus Well-structured and autonomous working style, good organisational and communication skills Team player Early-stage researcher: a researcher without a PhD who has graduated in
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at least one of the following topics: hyperbolic geometry, Teichmüller theory, geometric analysis, or the study of geometric structures or representations of surface groups Autonomous worker with good
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling in various
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implementing innovative projects with their students that work towards key civic competencies as elaborated by the Council of Europe (2016) and structured around UNESCO's three dimensions for GCE - cognitive
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techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their spatial resolution is limited by the light diffraction phenomena and it is
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coordinate large-scale structural projects (shared infrastructure, cross-disciplinary technology programmes, calls for projects). Manage the C2RT: lead its strategic development and oversee the operations
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from