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during data collection. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7077-NADTIR-004/Default.aspx Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Research
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through secondments and placements. Finally, dedicated staff will help the fellows to relocate in Brittany. BENEFITS A 24-month fellowship with an estimated net remuneration of 2,711€ per month, a mobility
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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well as undergraduate, master's, and PhD students. Where to apply Website https://ube.nous-recrutons.fr/poste/l4tesmbz1m-chercheur-en-chimie-et-electroch… Requirements Research FieldChemistry » Molecular
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with collaborators involved in genomic and bioinformatic analyses. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8261-ZEYTAD-002/Default.aspx Requirements Research FieldChemistryEducation
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by Bianca HABERMANN. As the laboratory comprises members of various nationalities, fluency in English is essential. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7288-AMBGUA-024
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. Opportunities to collaborate with leading experts in molecular computing and DNA-based technologies, in France and Japan. Relevant publications: https://blog.espci.fr/guillaumegines/publications/ The successful
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postdoctoral researcher to join our group at the Institute of Genetics and Development in Rennes (IGDR), France (https://igdr.univ-rennes.fr/en ). Research in the Cyclochondria team led by Giulia Bertolin (https
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to the scientific leaders of the project. - Direct co-supervision of the study engineer and collaboration with permanent members. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8591-THODEP-006
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. Interaction with the different partners of the project will help to properly define the input data (source model, environment properties), and interpret the output data (pressure, displacement, velocity