517 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" positions in France
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- CNRS
- Inria, the French national research institute for the digital sciences
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- GUSTAVE ROUSSY
- Gustave Roussy
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INEM Institute
- INSA LYON
- INSA Rouen Normandie
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- INSERM DR2
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- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- IRCM - Cancer Research Institute of Montpellier
- IRD Occitanie
- ISAE-SUPAERO
- Imagine Institute
- Inria
- Institut Agro Rennes-Angers
- Institut de l'Audition/Institut Pasteur
- Institute for Translational Medicine and Liver Disease
- Institute for Translational Medicine and Liver Disease (ITM), Inserm U1110
- Institute of Chemistry of Clermont-Ferrand (UMR 6296 CNRS)
- JUNIA
- LEAD CNRS UMR5022, Université de Bourgogne
- Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA)
- Luxembourg Institute of Science and Technology (LIST)
- Region Bretagne
- Sorbonne Public Health Institute
- Sorbonne Université
- UNIVERSITE DE BRETAGNE SUD (LORIENT)
- University of Lille
- University of Toulouse
- Université Bourgogne Franche-Comté
- Université Côte d'Azur
- Université Gustave Eiffel
- Université Lumière Lyon 2
- Université Paris 1 Panthéon Sorbonne
- Université Paris-Saclay GS Santé et médicaments
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Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
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Domaine Physique du noyau, atome, molécule Contrat Post-doctorat Intitulé de l'offre Post-doctorat - HED models development into the ESTHER code and experimental applications - H/F Sujet de stage
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are: Required degree: Ph.D. in a field related to environmental modeling, data-driven modeling of natural systems, hydrogeology, hydrology, etc. Primary selection criteria for teaching activities: Quality
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at IMT Atlantique aims to develop simulation models for the OCAAPI reactor, with the ambition of describing the transport and reaction mechanisms at different scales: intra-particle and granular bed
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop
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provided to the PhD student to support the development, training, and implementation of machine learning models. Travel and participation costs for project meetings and international scientific conferences
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 15 hours ago
, and more specifically to bridge model-driven and observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic
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oxides, we will first develop and benchmark machine-learning interaction potentials of increasing complexity. Subsequently, we will deploy a combination of brute-force and rare-event sampling to isolate