192 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral positions at CNRS
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FieldEnvironmental science » Earth scienceYears of Research Experience1 - 4 Research FieldEnvironmental science » Global changeYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in
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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire de réactivité et de chimie des solides Research Field Chemistry Physics Technology Researcher Profile Recognised
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, and operation of ADS present a series of technological challenges to be overcome. In particular, the reactor's reactivity must be measurable online; otherwise, the ADS cannot be operated. Indeed, since
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Montpellier). The main research themes at IEM include membrane chemistry, chemical engineering, and membrane processes. The unit comprises 55 permanent researchers and 100 postdoctoral researchers, doctoral
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evolution of volatile elements, essential to the emergence of life on Earth, while enhancing our understanding of the processes involved in the formation of the first planetesimals in the solar system
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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire de Mécanique des Solides Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher
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Strasbourg. The unit comprises 12 research teams, 3 platforms, and 3 technical units, employing 80 staff, including 46 researchers/lecturers/engineers and 34 PhD students and postdoctoral researchers. LIMA's
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-called switchbacks (SBs), in the solar wind. Because of their ubiquity in the inner heliosphere, and relative absence close to the Earth orbit and beyond, SBs are considered as a key ingredient to
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researcher will join the ANR SCHEMA project team, which brings together researchers, research engineers, and PhD students from various laboratories and disciplines (LPG, IPAG, LaMPEA, LAPCOS, MONARIS
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome