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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | about 2 hours ago
conducted within the Ecology and Modelling for Fisheries (EMH) laboratory of the HALGO unit, part of the DECOD Joint Research Unit. Members of the laboratory develop knowledge and methods supporting
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models of the process. Finally, this PhD research will contribute to advancing knowledge in the repair of high-value components and the reuse of mechanical systems. More broadly, it will support the
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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Job Purpose To make a leading contribution to “Numerical Modelling of Superconducting Cables” working with “Propulsion, Electrification & Superconductivity” group in the research disciplines
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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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illumination variations, which introduce non-stationary shifts and degrade the performance of conventional models. The project proposes the use of hypernetworks to dynamically adapt the parameters of the gaze
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, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data
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year of the 1976 drought, we are excited to launch this new opportunity for a Research Assistant or Research Associate in Water Resources Modelling to join us in the School of Engineering. The project is
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or related field Knowledge of Numerical solution of partial differential equations Knowledge of Scientific computing / high-performance computing Knowledge of Algorithmic modeling and simulation Fundamentals