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or innovative solutions. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding. To plan and manage own research activity, research resources in
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The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and Vibration Research (ISVR). Advanced Air Mobility (AAM) presents an opportunity to revolutionize public...
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candidate has either analytical or computational skills (exact diagonalisation or tensor network techniques) and research experience in either many-body quantum physics, statistical mechanics, statistical
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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both on your own and in collaboration with others, as appropriate. To plan and manage your research activity effectively and safely, with minimal input from the PI, share research resources in
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating conservative transmission algorithms that ensure consistent exchange of information
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the discipline to work within established research programmes. Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research
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to the development of research programmes and methodologies including online and in-person workshops and field work with teachers Ability to routinely communicate complex and conceptual ideas to those with limited
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to work within established research programmes. Applicants will have good quantitative skills and knowledge of statistics including experience of statistical programming software (e.g. R or Stata