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topic: This position falls within the field of bioenergetics and protein biochemistry. The project aims to study the role of an original extra-membrane structural module involved in the mechanism
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Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 9 Apr 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer
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SyMulDaM project and contribute to the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure. Main activities • Lead the development
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars
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of the optical localization system for mobile robots in dynamic and unstructured environments. Main activities • Development of an optical localization method for mobile robots operating in indoor and/or outdoor
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contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related discipline
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participation in phantom and clinical studies with CHL More information about the team and environment: Computational Mechanics (Legato), Legato Team site , Legato YouTube Your profile Master's degree in
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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Language Processing, can be used to extract linguistic knowledge, particularly concerning tones. The main object of investigation will be the Yongning Na language (ISO code: NRU). This work, based on fine-tuning models