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criteria - Computer skills, particularly in Python and C++, are necessary for the development of the analysis software. Knowledge of Git version management software is also desired. - Proven knowledge
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, scripting and quantitative data analysis, would be an asset. The ideal candidate will be able to work independently and demonstrate strong project-management skills in planning and coordinating work across
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sorting and injection of RNA and/or proteins, is also required. The agent should be able to read, understand and apply data from the scientific literature. Website for additional job details https
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part of the work will focus on developing an information and advisory platform for managers, supervisors, and employees with disabilities. Assigned activities and expected results The selected candidate
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asymmetries along the former Inner-German Border” was launched in October 2024 (https://divsky.hypotheses.org/ ). It brings together around ten researchers and lecturer-researchers (UMR Printemps, UMR
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tools and software for reprocessing mass spectrometry data (Dynamix, Proteome Discoverer, MaxQuant, etc.). - Manage work in an ISO9001-certified environment; - Communicate with internal and external
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platforms and 1,600 partner companies. For more information: https://www.imt-mines-ales.fr You will be affiliated with the Center for Research and Teaching in Environment and Risks (CREER) at IMT Mines Alès
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12 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique des 2 infinis - Irène Joliot-Curie Research Field Physics Researcher Profile First Stage Researcher (R1
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10 Jul 2026 Job Information Organisation/Company Le Mans Université Department ESO Research Field Agricultural sciences Geography Researcher Profile Recognised Researcher (R2) Positions PhD
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
and inference to manage the significant computational cost associated with high-resolution, long-duration video generation, and address the difficulties of data scarcity and bias through techniques like