199 developer-"https:" "https:" "https:" "Robert Gordon University" PhD positions in France
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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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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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 8 days ago
advances in the field of paleogenetics have opened promising perspectives to measure the impact of these dynamics on the epidemiology and evolution of pathogens in the past, by allowing the identification
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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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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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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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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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explicitly incorporating these uncertainties through "soft constraints," in order to produce more reliable and relevant simulations. This PhD project is part of task 2.2 "Development of Artificial Intelligence
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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