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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 30 days ago
is part of the national PEPR (Programme et Equipement Prioritaire de Recherche) PlantAgroEco project, coordinated by Alexis Joly. The PEPR involves several teams from various institutes (Inria ZENITH
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on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip functionalisation with receptor
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Interferometer (aMZI) sensors on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip
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predictive markers. The position includes exclusive access to a proprietary multi-center MS clinical-trial MRI dataset (10k+ patients; longitudinal multi-sequence MRI with manual lesion labels, treatment codes
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, but 1.10.2025 at the earliest and ends on 30.9.2026. The position is full-time, although part-time work is possible on mutual agreement. Job description Our research team is looking for data analytics
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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to CNRS employee's benefits as well as UBE support for career development. (EU label 'HR Excellence in Research'). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6303-ERIDUJ-009
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(Excellence label, Normandy Region; 3.5 months), followed by the SunToH2 project (Labex, 12 months). These projects aim to develop efficient photocatalysts under visible light, for CO₂ valorization and hydrogen
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single PDF document labeled with your last name, first initial. Note: If your mentors prefer to submit their letters separately, please request that they indicate your full name in their email. Quick Link
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and has a zest for organization and accomplishing goals. Job tasks include optimizing intrinsic labeling systems (13CO2, 2H, 57Fe, etc.); developing high-throughput extraction, sample clean-up, and