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of the chosen nanorod mixture. The overall aim is to design systems that spontaneously self-assemble into assemblies with a target (crystalline or quasicrystalline) symmetry within each layer. This project will
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the University of Montpellier and the CNRS. It specializes in the study of sensors, components, and systems 2 intended for hostile environments. The primary objective of the IES is to design and develop innovative
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the end of the Holocene to 2100. The PhD student will be enrolled at the University of Montpellier. The project seeks to understand how changes in vegetation composition have affected the flammability
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permanent researchers and lecturers, is a pioneer in thermal AFM microscopy at European and world level. The PhD work will be carried out in the framework of the ANR ANTICHI project, which brings together
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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and solid NMR, size exclusion or affinity chromatography, radiation scattering (light, neutrons, X-rays, etc.), in order to actively participate in the design of bio-based materials: capsules and
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well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters. -- Conception of machine learning algorithmes for resource allocation -- Numerical experiments -- Drafting research
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of Research Experience1 - 4 Research FieldPharmacological sciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must hold a PhD in biochemistry or biotechnology. He
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PhD students, as well as two engineers and technicians. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7346-ANNPOR-168/Candidater.aspx Requirements Research FieldPhysicsEducation