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physics and diagnostics at the York Plasma Institute Computational combustion modelling using High-Performance Computing (HPC) Machine learning techniques for predictive combustion models Research
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Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
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and technology organization. We are looking for a Coastal Modeller to support our Ocean, Coastal and River Engineering (OCRE) Research Centre. The Coastal Modeller would be someone who shares our core
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This PhD scholarship is for motivated researchers interested in developing advanced catalysts for ammonia synthesis and combustion, contributing to sustainable hydrogen storage and clean energy
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Generative machine learning models have made significant progress in recent years. Typical examples include, for example, high-quality image or video generation using diffusion models (e.g
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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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limits map which describes the performance of a turbine wheel with respect to the microstructure through simulation and empirical testing. The aim of the project is to develop a modelling and simulation
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nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative agriculture with 1000 farmers. The aim is to make regenerative agriculture
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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address Dr. Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed