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ESRF - European Synchrotron Radiation Facility | Grenoble, Rhone Alpes | France | about 14 hours ago
vibrant city, in the heart of the Alps, and Europe's Green Capital 2022; Enjoy a workplace designed to support your quality of life; Benefit from our competitive compensation and allowances package
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thus should be familiar with relevant literature. He/she should be well organized to plan, execute and interpret the experiments. He/she will present her progress at laboratory meetings. He/she will also
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5300-GERLOO-006/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research FieldEnvironmental scienceEducation
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opportunity to work with other members of the French and Singaporean teams. The PhD is funded by the Q-loop project (quantique.france2030.gouv.fr/recherche-innovation/programme-lsq/), which focuses on system
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context: The design of candidate drugs starting from the so-called fragment
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relies on unique, home-made HVPE reactors, designed and developed locally [1–2]. The main objectives of the PhD candidate will be the qualification of two new HVPE epitaxy reactors, as well as a detailed
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Institut de Recherche en Génie Civil et Mécanique (GeM) | Saint Nazaire, Pays de la Loire | France | 1 day ago
plateformes expérimentales de pointe. Les candidatures doivent être déposées sur la plateforme Amethis (https://amethis.doctorat.org ). This PhD thesis lies at the interface between materials mechanics
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randomly oriented in the absence of an external electric field.. Recently, the high-entropy oxide (HEO) approach has emerged as a promising strategy for designing high-performance relaxors. The intrinsic
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https