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seeks to meet today's major challenges. Located near the Atlantic coast and 2 hours from Paris by train, Nantes is a large city regularly ranked for its quality of life and well-known for its cultural
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | about 9 hours ago
immediately prior to the recruitment date. Selection process Interested candidates please send a motivation letter, a CV including publications (if available), copies of university degrees and courses
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developed by the team. Experimental study of hydrogen combustion for gas turbines Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5502-LAUSEL-004/Candidater.aspx Requirements Research
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subject developed within an international framework, benefiting from European funding and computational resources. The interested candidate will ideally have good knowledge of the following methods
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between the University of São Paulo (USP) and the CNRS, comprising two doctoral projects. These two theses will produce highly complementary results, and the two doctoral students will work closely together
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functions operating with ultra-lower power consumption. A LUT-based design environment under development at TIMA Laboratory will be considered for this. The circuits functionality will be further validated
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PhD project aims to develop novel engineered proteins with tailored cell-recognition and activity profiles, using a combination of: Computational protein design to reprogram receptor recognition and
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together 11 academic and industrial partners from Norway, Italy, Germany, and France. Its main goal is to develop an industrial PDMH storage unit with a capacity of 100 kg of H₂. Project Description Two
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weapons of war are nerve agents (Sarin gas), blister agents (Yperite), or suffocants (phosgene). Civilian or military personal protective equipment (PPE) developed until now generally offers passive
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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