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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
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of the ANR ERMONES project. He/she will hold a PhD in Polymer Science. Team 1, entitled “Catalysis and Polymerization Engineering,” is led by Frédéric Peruch. The team develops alternative strategies
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FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria -The applicant must hold a PhD in neurosciences or
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communication in different navigation contexts and different types of flows. The successful candidate will be supervised by Aurore Loisy. They will join a multidisciplinary team of researchers and PhD students
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of Research Experience1 - 4 Research FieldPhysics » BiophysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Candidates must hold a PhD in organic polymer chemistry and have
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of Research ExperienceNone Additional Information Eligibility criteria - The applicant must have a PhD in physical chemistry, colloid science, soft matter physics or related fields of research - Skilled in
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ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD in materials science (physics and chemistry) and materials characterization, nanomaterials
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CELIA. The PhD student will have extended stays in both laboratories, in order to get in-depth training and contribute to the further development of these codes. At least one extended visit of the LPENS
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- The candidate must hold a PhD in theoretical chemistry or physics. - expertise in quantum chemistry and ab initio molecular dynamics, quantum dynamics if possible - be able to program and script in a language of
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling