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Field
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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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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed
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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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/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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of installation. Your work will include the development of advanced numerical models of the transition system, alongside the testing of a scaled prototype structure to demonstrate proof of concept. You will lead
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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