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PhD grant proposal - Carcinogenesis study tools for bioTechnologies and medicine of the future H/F PhD grant proposal : HYMPACT: Modular HYdrogels mimicking the healthy and pathological PAncreatic
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Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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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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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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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