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have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale
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discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility
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/10.14379/iodp.proc.399.104.2025 ), combined with numerical modelling of PHHSs. About the role You will combine quantitative petrographic and petrological techniques (SEM-QEDS) with state-of-the-art, in-situ
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performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model architectures, and synthetic datasets that integrate
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working with numerical weather prediction (NWP) or Earth system models such as WRF or the Unified Model. Strong preference will be given to candidates with experience in next-generation frameworks like
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welcomed. The collected datasets will be used to calibrate numerical models that simulate future changes in sediment budgets from climate and coastal development scenarios and to support resilient coastal
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an opportunity to contribute to a collaborative international research environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation
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similar role / technical hands-on experience in battery fire model development. Proficiency in C, C++ and Fortran etc., programming languages, numeric and analytical skill. Good written and oral
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. Description: The storage and movement of water around or planet is linked to numerous climatological, chemical and biological processes. I conduct research using satellite observations and numerical simulations
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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in