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to fundamental research in condensed matter physics, enriched by interdisciplinary activities at the interfaces with chemistry, engineering, and biology. The PhD student will join the Quantum Nano Electronics and
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adult brains. These cells reside in tightly controlled microenvironments called “niches.” Objectives of the PhD project: The gestation and maternity periods in mammals open a window of important brain
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, these CMCs will increase the lifespan of engine parts to increase robustness and facilitate the maintainability of military and civil aircraft. Description of the subject: This thesis project is based on a
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. The project proposes an innovative approach to model sea ice dynamics from the ice floe scale to the basin scale, leveraging hybrid data assimilation and machine learning methods to shape a physically robust
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9 Oct 2025 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 29 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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9 Oct 2025 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 29 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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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 PhD candidate will work within the
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: electronic structure calculations (plane wave DFT if possible), statistical thermodynamics, molecular dynamics. Skills in Python, bash scripting, Fortran 90 and machine-learning would be appreciated. The PIIM
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ISMO is located in a new building on the Saclay plateau. The PhD student will benefit
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on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate