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The successful candidate will have a PhD or Master degree in molecular biology with solid knowledge in genetics and functional genomics. We are seeking for highly motivated candidates with a strong interest in the
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will work in a team of researchers, post-docs, and PhD students who are actively investigating various challenges and aspects of federated learning. The candidate should have knowledge in machine
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partnerships. The job position will be based at Saclay (20 km South of Paris). Skills and expertise PhD in Economics (already defended or expected end 2025). Experience carrying out and analysing lab or online
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or equivalent Skills/Qualifications PhD in analytical chemistry, physical chemistry, or materials science. Solid experience in spectroscopy, imaging techniques, and electrochemistry is expected. LanguagesENGLISH
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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for System Co-Verification against Faults. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024(4): 179-204 (2024) #CEA-List ; #CDD ; #Cyber You have a PhD or a Engineer’s degree in the field of electronics
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at Saclay (20 km South of Paris). ABOUT YOU ! You are graduated from a PhD ? You are specialized in Energy Economics ? You have at least minimum 1 to 2 years of experience in setting up and analysing
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We are looking for a candidate with a Master's degree, Engineer's degree or PhD in computer science, junior or senior, to join a team responsible for the packaging, deployment, and testing
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Hochschule München, jointly funded by the ANR and the DFG. Candidates should have a PhD in physics with good background in oxide materials, ferroelectrics or photoemission spectroscopy. The initial contract is