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Informatics (ACHI) PhD Studentship Programme aims to fund two highly motivated non-clinical Health Data Science PhD studentships to support the training and development of the next generation of informatics
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high-impact publications will be generated during the project, to be presented both in computer science-related venues (e.g. CVPR, NeurIPS, MICCAI) as well as at medical conferences (e.g. ISMRM, ESMRMB
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are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer science, physics, or atmospheric science. Funding This studentship is for 3.5 years and will
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when the project commences. Applications are invited from candidates with (or who are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer science
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methods could alleviate this limitation by leveraging large amounts of un-annotated datasets. These techniques remain however largely unexplored in the field of medical video analysis. The School of Science
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to power engineering, mathematics, computing and energy economics. The successful candidate will have excellent understanding in the fields of power system operations and economics. Experience in data
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, or higher) degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or related STEM areas. Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £20,662
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machine learning to CFD-generated datasets. The ideal applicant is a fresh graduate in engineering or in a closely related discipline, with a track record of achievements at the top of their cohorts
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sports sciences. The training and research programme: The successful candidate will join the EPSRC Centre for Doctoral Training programme in Photonic and Electronic Systems programme (PES CDT). Further
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prediction. This project is a collaborative effort between the School of Computing & Mathematical Sciences (CMS) and the School of Engineering (SoE) to utilise expertise and facilities between two schools