156 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions in France
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requires fundamental and applied research for their optimization, better understanding and industrialization. The project aims to develop and characterize new “reactive” hydrophilic and lipophilic DES
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psychology or educational sciences with a theoretical focus on social psychology is therefore desirable. In terms of research, you will be required to develop work in line with LIP/PC2S's activities and more
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, conveniently located in the Latin Quarter in downtown Paris. The centre develops research in a wide range of disciplines, including evolutionary biology, ecology, computational biology, genetics, and comparative
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Description The Nicol&Fassier lab at the Vision Institute (Paris, France) seeks a postdoctoral fellow to join the Sensory and motor circuit development team. The Vision Institute is part of Sorbonne University
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electronic properties of two-dimensional (2D) semiconductor materials, making them particularly attractive for applications such as catalysis and micro/nanoelectronics, for instance for the development
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project is part of an ANR (ANR-25-CE07-4308) The project aims to develop a
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. Explainable Artificial Intelligence (XAI) has thus emerged to develop methods for explaining AI decisions. However, popular agnostic approaches suffer from major limitations: instability of explanations in
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temperature and pressure conditions close to engine operation. A detailed kinetic mechanism will be developed during this thesis to represent these results. This mechanism will be integrated to the mechanisms
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the national "Solutions for the Industry of the Future" label. Its objective is to accelerate innovation and promote the development of Industry 4.0 solutions. In the global context of the energy transition and
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frequent cloud contamination. This scale mismatch prevents a coherent representation of radiative–thermal processes at the urban scale. This PhD will develop physics-informed deep learning models for data