334 computational-physics "https:" "https:" "https:" "https:" "Caltech" Postdoctoral research jobs in France
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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10 Jan 2026 Job Information Organisation/Company CNRS Department Sols, solides, structures, risques Research Field Engineering » Materials engineering Physics » Acoustics Researcher Profile First
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astroparticle physics, particle physics, and mathematical physics. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on large-scale cosmic structure, microwave and infrared
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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 The aim of the project is to conduct X-ray absorption and spectral
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are recruiting a postdoctoral researcher as part of the SATELLITE project
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the Paris region specializing in environmental and climate sciences at the Institut Pierre-Simon Laplace (IPSL) (https://www.ipsl.fr ). The LOCEAN team's work focuses on studying the physical processes
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2 Jan 2026 Job Information Organisation/Company CNRS Department recherche Translationnelle et Innovation en Médecine et Complexité Research Field Engineering » Materials engineering Physics
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15 Jan 2026 Job Information Organisation/Company CNRS Department Biologie des organismes et écosystèmes aquatiques Research Field Physics Researcher Profile Recognised Researcher (R2) Application
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28 Jan 2026 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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) enables computations to be performed directly on encrypted data without knowledge of the deciphering key, offering significant potential for privacy-preserving deep learning. However, conventional neural