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Matter Chemistry (ICMCB) focuses its research on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control
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essential and can be integrated into the robust design of hydrogen-based e-fuel burners. This PhD project will investigate modeling uncertainties in flame property simulations of ammonia and ammonia–hydrogen
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about material sciences: how far can we exploit the knowledge gained by these fundamental investigations towards designing efficient, general-purpose LH materials, applicable to functional light energy
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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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(methylation pattern, transposable element activity, effector genes, G-quadruplexes, etc.) and are there any differences between accessory chromosomes and core chromosomes? 3-What is the origin of accessory
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, symbiosis, methanogenesis, etc.). - Link events to genomic function and context: functional enrichments, proximity of mobile elements, recombination hotspots; establish predictors of genetic innovation
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diseases, innovation in treatments, and public health research. Joining INSERM means joining an institute committed to professional parity and equality, diversity and support for its agents with disabilities
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 3 days ago
together 15,000 researchers, engineers, technicians and administrative staff, with a common objective: to improve the health of all through progress in knowledge of living organisms and diseases, innovation
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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro
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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