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integrated into the LMBA at the Brest campus. They will participate in scientific activities, including lab seminars, team seminars, and PhD student seminars. They will also organize regular meetings with
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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autonomous system (Autonomous Driving - AD), following the Human-Autonomy Teaming (HAT) paradigm [1], for the longitudinal and lateral control of a vehicle. Assuming the driver remains active and in control
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implement a range of functional approaches (phagocytosis, ROS release, cytokine expression, mitochondrial viability) to characterize their activation state. They will also conduct behavioral experiments in
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polymers. In addition, the candidate will actively participate to the evaluation of these polymers by a various techniques based on nanopores and optics, in close collaboration with different physics partner
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and Université Côte d'Azur. INPHYNI is a physics laboratory covering a broad range of research topics, with strong activities in fluid mechanics, soft matter physics, biophysics, microfluidics, and
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• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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of the PRCI project entitled LUCAS (Leverage External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems). The research activities will be carried out at the Centre de
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France is compulsory in order to take part in project activities. Travel abroad -in addition to place of fieldwork- may be requested. Website for additional job details https://emploi.cnrs.fr/Offres