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of this brain cancer, as well as the evolution of the tumor. This part of the project involves designing, developping, and running machine learning algorithms and approaches to exploit vectors of RNA modification
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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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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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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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the mechanical stress experienced by the cable, electrical stress and marine stress. The work will include experimental and simulation aspects related to the implementation of testing equipment, the evolution
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