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student with a background in physical chemistry or nanofabrication. Knowledge of basic scientific programming and interest for the development of original instrumentation would be a plus, but are not
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Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should demonstrate a strong background in numerical methods
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doctorate in anthropology. - NOT TO BE ENROLLED IN A DOCTORAL PROGRAMME at another French or foreign higher education institution. - Hold a master's degree (or an equivalent diploma) or have a defence
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
centered on SBI (https://sbi4c.inria.fr ), funded by the Grenoble MIAI AI institute. This thesis is part of this collaborative context, to which two complementary theses are also attached: the first focused
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main objective of the project is to valorize wood
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in order to study the isotopic fractionation that occurs during bubble formation and to determine whether the measured neon isotopic composition can provide an accurate composition for the original
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neuroscience research. The project is exclusively devoted to fundamental academic research and is conducted within the framework of publicly funded scientific research activities. Where to apply Website https
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
system Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10252 Requirements Skills/Qualifications Engineering and/or Master 2 degree in Computer science / Applied mathematics with
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, numerical process simulation, and advanced characterization techniques (synchrotron, TEM, EBSD), will be implemented. The ideal candidate will hold a Master's degree or an engineering degree in Materials