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. Participating in the experimental program and in the operation of the VAMOS spectrometer. You will be involved in the scientific activity involving the VAMOS spectrometer, devoted to the study of the spectroscopy
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imaging, etc.) and/or biomechanical models. With a background in physical and sports science and technology or biomechanics, the candidate will propose personalised models of the musculoskeletal system in
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University of Reims Champagne-Ardenne (URCA) | Reims, Champagne Ardenne | France | about 1 month ago
(R1) Positions PhD Positions Country France Application Deadline 20 Oct 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded
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successful candidate will complete a PhD thesis in political science, written in French, at Lille University, under the supervision of Emmanuelle Bouilly, full professor, and PI of the ANR PARLAF. A joint
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, including 180 permanent staff (researchers, professors, engineers, technicians, and administrative personnel) and around 180 non-permanent staff (PhD students, postdocs, and fixed-term contracts). Each year
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of the project. Research project The PhD student recruited by CETHIL will mainly perform tasks related to data processing and demonstration of the new dual scanning thermal and electron microscopy (SThM-SEM
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digital electronics, data acquisition systems for detectors and sensors, signal processing, and high-precision analog solutions. We are looking for an experienced Electronics Engineer to strengthen the team
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if required by the project, the structure or the needs of the laboratory. For further information, please contact Prof. Dr. Elisabeth Letellier Your profile PhD in Biological Sciences or a related discipline
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. The position will involve the use of molecular tools to generate transgenic parasites, advanced imaging techniques and the implementation of new chemoproteomic protocols. Parasite culture, biochemistry and
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills