304 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at CNRS in France
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candidate will join the “Ecosystem Functioning” research group (ECOFUN - https://ecobio.univ-rennes.fr/ecofun-diversity-interactions-processes ) and will be supervised by Cécile Monard (CNRS Researcher) and
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advanced NMR methodologies, the project aims to provide unprecedented insights into the architecture and remodeling of this essential cellular structure at the atomic scale. Where to apply Website https
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5152-ALEPET-004/Default.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research FieldMathematicsEducation
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program. Synthetic digital polymers represent a valuable alternative to natural macromolecules like DNA for data storage at the molecular scale, especially thanks to a higher versatility and coding capacity
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Perception and Action research team under the supervision of Dr Dollyane Muret. Experimental work will be carried out at the INCC BabyLab (https://babylab.incc-paris.fr/ ), a research facility dedicated to
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goal of the PhD will be to show true indistinguishable photon emission between two color centers integrated in spatially separated silicon photonic cavities. Where to apply Website https://emploi.cnrs.fr
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group at the Bordeaux Institute of Molecular Sciences (ISM - CNRS UMR 5255) and will be supervised by Dr. P. A. Peixoto. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5255-PHIPEI-003
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ultrasound, and shear wave elastography. The position is based at the Institut Langevin laboratory https://www.institut-langevin.espci.fr/home . This is a full-time position. The postdoc is funded by the ERC
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relationships for multifunctional polymer nanomedicines and contribute to the development of accelerated, data-driven formulation strategies. The project is funded within the PEPR DIADEM (https://www.pepr