23 development "https:" "https:" "https:" "UCL" "UCL" positions at Université de Montpellier
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for developing new molecular biosurveillance tools, transferable to local species, thereby contributing to i) improving the capacity to monitor ecotoxicological hazards and water resource quality, and ii
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to capture the spatial complexity of tumor organization and its relationship to treatment response. This PhD project aims to develop robust multimodal predictive models of platinum resistance using a large
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observations disponibles dans les observatoires de l'infrastructure de recherche OZCAR comme l'Observatoire du Larzac (https://deims.org/83b01fa5-747f-47be-9185-408d73a90fb2
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candidate. (1) Develop multisource, frugal downscaling approaches. Most downscaling approaches presented in the scientific literature are Machine Learning (ML)-based. The proposing team's experience is that
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initiation and evolution. Different rheological parameterizations of yield-strength and dislocation creep will be compared in regional and large-scale numerical models of mantle dynamics. We will in particular
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conditions (pressure, pressing time, surface condition, etc.). Existing studies, often limited to a single timber species or a narrow range of configurations, do not yet allow for the development of reliable
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will be to study new examples, study small dimensions, and develop an equivariant perspective on toric degenerations
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