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theoretical modeling of free-electron-driven X-ray photonics. Working closely with experimentalists, the research fellow will lead the study of coherent X-ray emission from free-electron-driven van der Waals
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within EPSRC project EP/Y000196/1, developing and validating predictive models of SGT and MMT devices using appropriate techniques such as TCAD, compact modelling, surrogate modelling and physics-informed
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within EPSRC project EP/Y000196/1, developing and validating predictive models of SGT and MMT devices using appropriate techniques such as TCAD, compact modelling, surrogate modelling and physics-informed
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renewable based on performance and funding availability. Key Responsibilities: Collect and harmonize multi-source datasets for model calibration and validation. Develop new model functionalities in GCAM, with
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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problem-solving skills Experience developing, testing, and refining machine learning models Excellent written and oral communication skills Experience with publishing in peer-reviewed journals Stipend
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looking for a Research Fellow to conduct research on AI-enabled discovery and development of advanced functional materials and coating processes, with emphasis on data-driven modelling, uncertainty-aware
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sustainable manner. Key Responsibilities: Develop advanced experimental apparatus to investigate coupled multiphysics processes in porous materials (e.g., clay). Develop constitutive models and numerical tools
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project funding. Purpose of the post The Senior Research Fellow will lead the development and application of advanced mathematical and statistical modelling methods to support clinical and infectious
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Develop advanced tissue models to study high-consequence zoonotic pathogens Apply