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postdoctoral research project. The project focuses on the development and application of a remote sensing algorithm for monitoring the physicochemical properties of aerosols based on optical measurements taken
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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Dynamics and Basin Evolution on the Exploration of Energy Resources and Geological Potential) of the PEPR “Subsurface, bien commun”, funded by the French National Research Agency (ANR). This project involves
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controlling NPC assembly and their involvement in cancer cell proliferation. - He/she will design, plan, and carry out experiments, analyze and interpret the data obtained, and contribute to the development
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wave enantioselective electron paramagnetic resonance (TWEEPR). The successful candidate will contribute to the development of novel GHz experimental techniques within the Magneto-optics team
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Website https://emploi.cnrs.fr/Offres/CDD/UMR5267-DOMCAI-002/Default.aspx Requirements Research FieldLanguage sciencesEducation LevelPhD or equivalent Research FieldLanguage sciencesEducation LevelPhD
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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze
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of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and their evolution, under
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producing PU dispersions from polyols synthesised from recycled waste cooking oils and optimising the formulations for applications such as varnishes and paints for the construction industry. - Development