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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
Website https://jobs.inria.fr/public/classic/en/offres/2025-09541 Requirements Skills/Qualifications Eligible candidates should have a PhD in computer science. Experience in formal methods or in
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Preparation of organic monolayers with controlled
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to the overall architecture of the project’s wireless neuromodulation system. About You You will have: A PhD (or equivalent) in Electrical Engineering, Electronics, Electromagnetics, Bioelectronics, or a related
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Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer
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% to supervising and assisting PhD students. Qualifications • Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are
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potential to Danish growing conditions; evaluate the adaptability of these accessions and investigate their genetic background; Uncover the genomic, metabolomic and sensory architecture of edamame taste and
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the molecular architecture of the chloroplast’s beta-barrel protein assembly machinery using structural tools. The successful candidate will have a PhD with relevant experience in protein biochemistry and
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Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
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internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics