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Science and Technology Studies (STS), to examine how dynamics of environmental justice and injustice emerge within energy transition projects. The postdoctoral researcher will conduct a series of case
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polarimetry for the metrology in microelectronics, studies of nanomaterials, and optical diagnosis of various biological tissue including plants. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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» OtherEducation LevelPhD or equivalent Skills/Qualifications Candidates must hold a PhD, in industrial ecology, process engineering, chemical engineering or related disciplines. You will demonstrate the following
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ExperienceNone Additional Information Eligibility criteria Profile: PhD in biology, neurobiology, microbiology or a related discipline. Previous experience in animal experimentation is essential. Experience in
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doctorate in the Mechanical/Chemical Engineering field and proven research skills evidenced by a least one publication as the first relating to the subject or activities of the project. Other essential
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Sciences Quantiques (CESQ) , 2 rue du Loess, 67200, Strasbourg, France Desired level of education : PhD Experience required : Maximum of 1 year after PhD defence Contact(s) for information
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
2 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire des sciences du numérique à Nantes Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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laboratory recognized for its expertise in molecular chemistry and functional materials. The work will be conducted in close interaction with permanent researchers, engineers, PhD students and external
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with a preferential rate Access to sports, university libraries and other activities on campus Eligibility criteria PhD in computer science or computer engineering A CV and a motivation letter Additional
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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