337 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Sheffield
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, analysis and reconstruction will be established. Developed methods can be tested against a diverse cohort of infants and/or paediatric and/or adult patients with lung disease, as part of ongoing clinical
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perceive to be a research need or gap. Clear proposals of interdisciplinary, innovative and critical methods, methodologies and lenses are particularly encouraged. Whilst interdisciplinary research is
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pollutants, such as aromatic solvents and chlorinated compounds, are persistent, toxic, and difficult to remove using conventional treatment methods. This project will develop next-generation catalytic
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Computational modelling of the emergence of somatosensory cortical maps School of Psychology PhD Research Project Self Funded Dr Hannes Saal, Dr SP Wilson Application Deadline: Applications
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Tracking Flying Insects: Developing novel technology to explore the lives of bees School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Michael Smith Application
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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with career stage). Essential Interview / Application / Test In-depth knowledge of Computational Intelligence/Machine Learning systems and methods, in particular those relevant to Explainable AI, Physics
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. These models will incorporate: Analytical approximations for complex biological systems Finite-element methods for solving partial differential equations Stress-strain balance calculations Mass-transfer
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skills, with the ability to build strong working relationships. Essential Application/interview A high level of computer literacy and experience in the use of Excel and MS Office software. Essential
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degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff and students. You