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these protocols - Analyze and publish the results The LCAR is a joint research unit (UMR) of the CNRS and the University of Toulouse. The postdoctoral researcher will work on a daily basis with researchers and PhD
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correlations. - Analyse experimental data mixing both quantum optics and solid-state physics phenomena - Supervise PhD students and interns - Ensure an efficient collaboration and information sharing with
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FieldGeosciencesYears of Research ExperienceNone Research FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in paleoecology sedimentary DNA, e-DNA. • Strong
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criteria The candidate should have: ● A PhD in biophysics, biology, physics, or a related field ● Experience in experimental biology (molecular biology, imaging, or genetics) ● Strong interest in
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of Research Experience1 - 4 Additional Information Eligibility criteria Applicants should have a PhD in Atmospheric and Oceanic Sciences, effective oral and written communication skills, and an interest air-sea
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applications from candidates with less than two years of postdoctoral experience after PhD defense. Required : PhD in computational biochemistry, biophysics or computational chemistry, and experience with
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the time of their application, a PhD degree in geology (including (bio)geochemistry, mineralogy/crystallography or experimental/isotope geochemistry/petrology), chemistry, physics or materials sciences. We
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. Yannick Landais of the ISM Laboratory in Bordeaux. He/she will hold a PhD degree, preferably with expertise in Polymer Science. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5629-DANTAT-011
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weight of the PHUs to enable the production of stable thin-film capacitors. • These bio-based polymers will be later integrated into sustainable energy-harvesting devices by a PhD student working in close
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Eligibility criteria You hold a PhD in chemistry, with a specialization in materials chemistry, and possess excellent knowledge in the synthesis of new organic materials as well as their characterization using