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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
studies in developing flow models that incorporate noise to account for modelling uncertainties or errors. The introduction of noise into ocean dynamics models must be done on a theoretically rigorous
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We are currently inviting applications for a Postdoctoral Research Associate in Mathematical Modelling of Batteries to work with Professor Jon Chapman at the Mathematical Institute, University
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strongly relies on the interaction between wind and dune shape. Recent improvements in airflow modelling and coastal dune modelling are promising. However, getting accurate wind field predictions remains
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required. Basic understanding of the current state of tropical cyclone research is required. Experience with field experiments and hurricane forecast models is a plus. The successful candidate must be able
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project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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experimental collaboration. Working alongside our partners at Imperial College London, you will integrate your mathematical models and computational results with their complementary experimental wind-tunnel and
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Oxford-Man Institute of Quantitative Finance (OMI), Eagle House, Walton Well Road, Oxford Postdoctoral Research Assistant in Quantitative Finance (2 posts) Research Topic - Large Language Models
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | 16 minutes ago
questions in cancer biology. Our research centers on cancer metabolism, tumor microenvironment, tumor immunology, and tumor suppressor signaling. Current projects investigate: 1) the regulation and function
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and tumor-microenvironment interactions in various cancer models and associated toxicological studies. This part of the project focuses on developing cancer models; therefore, we are looking for a
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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of