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Field
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Multicellular organisms may adapt their phenotypes to environmental
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Mechanics in Complex Media) and you will be supervised by Alexander Erlich and Jocelyn Étienne as part of the ANR GROWSIZE programme, funded for two years. Where to apply Website https://emploi.cnrs.fr
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: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control systems, and/or learning theory
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at Princeton University.We welcome applications from all areas in mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 29 days ago
the Chair "Artificial Intelligence and Mechanics for scale bridging in complex materials" (AIM), funded by MIAI Cluster AI and the ANR through the France 2030 program. The research will be conducted at Inria
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mechanics and advanced simulations. Candidate should have extended knowledge in advanced design instruments. Candidate should have average knowledge in computer aided manufacturing. Candidate should be highly
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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 At the CNRS, on the Futuroscope
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passionate about linking atomistic processes to device performance through computer simulations? Are you fascinated by designing next-generation semiconductors with quantum-mechanical methods enhanced by AI
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should have a strong interest in computational mechanics, finite element modelling in particular, as well as in textile materials and should be enthusiastic to work in a collaborative project between
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider