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of Nantes), 1 engineer, 1 postdoc, and 5 PhD students. The team has recognized expertise in liquid xenon TPCs, both for fundamental physics experiments (XENON, DARWIN, nEXO, XeLab, XERD, XLZD) and for medical
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PhD degree in Physics, Materials Science, Electrical Engineering, Nanotechnology, or a related field. o Strong hands-on experience in cleanroom micro- and nanofabrication, ideally using Silicon
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collaborate with Sandrine Codis and her PhD student Anais Meunier. The work will be carried out within the Cosmology and Galaxy Evolution Laboratory of the DAp. Where to apply Website https://emploi.cnrs.fr
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staff. It hosts a state-of-the-art technology platform featuring cleanroom facilities exceeding 2,900 square meters. The GOSS group consists of eight researchers and includes more than 25 PhD students and
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Candidates must have a PhD in theoretical physics, preferably in soft matter physics. They should be
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Information Eligibility criteria The candidate should hold a PhD in Molecular Microbiology. - Imaging of bacterial cells (phase contrast microscopy, epifluorescence, TIRF, FRAP, transmission and scanning
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numerical approaches or simulations. A PhD in Physics, Materials Science, Earth and Planetary Sciences, or a related field is required for this position. Additional comments The candidate (M/F) is invited
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ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
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FieldComputer scienceEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldComputer scienceYears of Research ExperienceNone Additional Information Eligibility criteria -PhD in Applied
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The candidate must hold a PhD in humanities and social sciences, preferably in geography or science studies. A good knowledge of research methods in humanities and social sciences, particularly semi-structured