209 developer-"https:" "https:" "https:" "Brunel University London" PhD positions in France
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
of the proposed research subject : A state of the art, bibliography and scientific references are available at the following URL: https://vincentgaudilliere.github.io/files
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the absorption of light by matter is a major challenge for the scientific community. In this context, the development of stimulus-responsive molecular switches able to act as fluorescent probes or photosensitizers
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https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-ARNMUS-007/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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Ecole Polytechnique and CNRS, hosted by the Center for Applied Mathematics (CMAP) of Ecole Polytechnique. The Platon project-team focuses on developing innovative methods and algorithms for uncertainty
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on the interaction between human cognition and language—understood as a cognitive entity, a means of communication, an object of learning and lifelong development, and a sociocultural phenomenon. Mission : Background
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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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the project partners: the LCOMS and PERSEUS laboratories and the hospitals of Strasbourg. This thesis is part of the ANR THERAPEUTIC project, which aims to develop a hybrid digital environment for
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methodological developments. It makes it possible not only to reveal paintings invisible to the naked eye, but also—by combining spectroscopy and imaging—to access the mineralogical nature and spatial distribution
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, real systems must account for losses, non-uniform flux distributions, material limitations, and experimental constraints. Developing realistic cavity architectures and validating them experimentally is
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regimes. This PhD project aims to develop predictive pore network models integrated with thermodynamics and upscaling methods toward reservoir-scale applications. We seek candidates with a strong background