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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will join the ZTF-IN2P3 group at the CPPM to work on data from
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The Center for Research in Neuroscience Lyon (CRNL) is part of Inserm, CNRS, and Lyon University, and one of the largest neuroscience institutes in France, providing an excellent and stimulating research
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network contracts upon local stimuli to orient fluid transport where it is needed. This enables autonomous functionalities without the need for a complex nervous system. These organisms use fluid transfer
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computational aspects of the project. The project is part of an ambitious research program aimed at understanding the neural mechanisms underlying behavioral flexibility and decision-making. We seek to decipher
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- work environment: Research Laboratory. - main mission: The goal is to design and prototype a Reciprocating Expansion Machine with a Linear Alternator (REMLA – 200W–100Hz – 10mm stroke), coupled with
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monitoring and centralization - Report writing and participation in fundraising The project is part of the CNRS BIOMED-ACCESS pre-maturation project. The recruited person will be located in the Biofunctional
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PhD on 2D quantum photonics : towards neuromorphic applications with 2D ferroelectrics materials M/F
nanophotonics with 2D materials. We offer a unique opportunity to explore emerging phenomena such as sliding ferroelectricity, ultra-low-threshold nonlinear photonics, and exciton engineering. The project is part
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&matricule_prop=67533 Post-translational modifications (PTMs), such as phosphorylation, ubiquitination, glycosylation, and SUMOylation, are key regulators of protein function, shaping immune signaling and
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to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus
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feedback within immersive environments. For that purpose, the project relies on a multidisciplinary methodology, gathering knowledge in human perception, haptics, virtual reality, mechanics and 3D