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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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literature review methodologies, and have a good command of research knowledge relevant to Contextual Safeguarding. Research experience, including from their PhD, is essential, however we are open to
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extended.) Person Specification Essential Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics
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and inclusion. It is essential that the successful candidates have a PhD in Mathematics, Physics, or a closely related field, and will have demonstrated strength in independent research appropriate
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contribute to fostering a collegial environment, as well as demonstrating their commitment to equality, diversity and inclusion. It is essential that the successful candidates will have a PhD in theoretical
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by Professor Yaodong Wang. The successful candidate will help develop such a new prototype MC which can be coupled with the LFPE. The project is being carried out in collaboration with an SME, and the
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). The position is funded by NSF-EPSRC grant 'Stochastic Shape Processes and Inference', in collaboration with the University of Nottingham, Ohio State University, and Florida State University. The successful
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that the successful candidates will have a PhD in theoretical particle physics or closely related field, and will have demonstrated strength in independent research in theoretical particle physics appropriate
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, remanufacturing, repair etc.) for the parts and materials extracted from space objects including the timing of such interventions considering the value of the materials, costs of extraction and processing, and