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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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, allowing to explore a wide parameter space i.e. to investigate various emission release compositions and fluxes, plume evolution with distance over hours and days downwind, and the interaction with other
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subsurface resources with a view to sustainable development. BRGM is actively involved as a coordinator and as a partner in several EU and French projects supporting technologies for resources efficiency
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of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position
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from the point of view of the work of future operators; to identify needs, i.e., “what is necessary for an operator or a group of operators to perform a work task” (Maline, 1994); and to anticipate
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to synthesize ACTIVE pharmaceutical ingredients). - main mission: The Post doc will work under the responsibility of Dr. Evelina Colacino, on the development of sustainable methodologies for organic synthesis