40 innovation-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at CNRS
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predictive models of immune responses. Develop advanced and innovative machine learning methodologies and analyze data. The postdoctoral researcher will join the groups of T. Mora and A. Walczak, whose
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. The postdoctoral fellow must be familiar with the standard characterization techniques used in the group (X-ray diffraction, magnetism, EPR, NMR, UV-Vis-NIR, and infrared/Raman spectroscopy). In order to design
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, N. Vanthuyne, J. Crassous, C. Daniel, and M. Mauro, PhysChemChemPhys, 2024, 26, 4855. - Design of new photoactive ligands and complexes - Synthesize organic heterocyclic ligands independently
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renewable postdoctoral position is part of an innovative project focused on characterizing the modification of bio-based materials using natural enzyme mimics capable of oxidizing biomass, particularly
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design and vacuum technology. Electronics and instrumentation. Experience with laser systems and optical setups. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8552-THIJAC-001
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on the ultra-stable laser stations of the REFIMEVE infrastructure. The research will focus on developing experimental methods to exploit REFIMEVE's photonic and metrological systems for innovative measurement
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collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation
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The successful candidate will contribute to the following activities: • Design and architecture of a microwave instrument in compliance with ESA technical requirements and specifications. • Selection and
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secondary ion mass spectrometry (SIMS), with the support of the engineers from the C2N technological platform. - design and fabrication of superconducting nanowires, taking advantage of the nanofabrication
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. The postdoctoral researcher will: - design and conduct molecular, cellular, biochemical, and biophysical experiments; - investigate protein interactions mediated by intrinsically disordered regions and short linear