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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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Débarre at the Lab. for Interdisciplinary Physics in Grenoble and of Dr Sigolène Lecuyer at the Physics Laboratory at ENS Lyon. You will be based principally in Grenoble, with secondments in Lyon and other
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of progressively responsible related financial and financial management experience, e.g., planning, directing, monitoring, organizing, and controlling the monetary resources of a department, center, or unit
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are central to the global transition towards sustainable energy systems and electrified transport. Advances in battery materials, modelling and control enable safer, more efficient and longer-lasting energy
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the potential of heat and flood mitigation strategies using nature-based solutions, in particular green–blue infrastructure, interacting with existing grey infrastructure. The focus is on modelling
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about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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resilience for Cyber-Physical Systems (CPS). The 10 Doctoral Candidates (DC) will collaborate on modeling threat actors, developing scalable AI-based monitoring and control systems, and designing strategies
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. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based
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mitochondrial diseases or mitochondrial dysfunction in metabolic disease. Mitochondrial protein import, organelle proteostasis, or quality control. Functional genomics: CRISPR/Cas9 or base‑editing screens, high