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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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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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supervising students. Key Responsibilities: Perform laboratory testing and numerical modelling of rock and concrete materials Prepare and deliver comprehensive project reports Develop and publish scientific
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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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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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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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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM
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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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Bring your expertise in analytical and numerical spray modelling to the University of Brighton’s Advanced Engineering Centre, where you’ll play a key role in advancing cutting-edge two‑phase flow