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publication, assessed at a La Trobe Masters by research standard of 75 or above This is a cross-disciplinary research project that spans artificial intelligence, quantitative finance, and applied mathematics
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(or equivalent) in: Engineering (Mechanical, Materials, or related disciplines) Physics, Chemistry, or Applied Mathematics About the Leonardo Centre:www.sheffield.ac.uk/leonardocentre The Leonardo Centre at the
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Sea. Qualifications Applicants must hold a master's degree or equivalent education in applied and computational mathematics, scientific computing, computational physics or computational geoscience
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of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical
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contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even
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degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship
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that are fundamental to BEAM (chemistry, physics, biochemistry, mathematics) or related fields. How to apply: More information on the application process and the requirements can be found on our website https
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context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
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in long-time simulations. The research combines fundamental mathematical theory with applications in areas such as plasma physics, molecular dynamics, and medical physics. In particular, the work
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cutting-edge Research Topics investigated across our different Research Units . You have We welcome candidates with diverse backgrounds, such as in Biology, Chemistry, Physics, Mathematics