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numerical solvers for 2D and 3D phase field models Develop HPC-ready simulation pipelines for large-scale rupture and fracture-fluid systems Optimize performance for modern architectures including GPUs and
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Energy Modelling and Simulation. The Dworkin group focuses primarily on numerical modelling, but also performs some experiments as needed for certain projects. The group currently has 2 Postdoctoral
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: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background Investigation Statement: Prior to hiring, the final candidate(s
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at least one programming language. Preferred Qualifications: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background
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systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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Sciences . It includes mathematical and physical modelling, numerical simulations of materials and nanosystems, low-dimensional systems, quantum matter, statistical physics, and complex systems
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researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group
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ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation predictions and to generate hydrological forecasts. Role Summary Implement and test
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support