841 computer-science-programming-languages-"St"-"ST"-"St" Fellowship positions in United Kingdom
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The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
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June 2026 (although funding is in place for a six-month extension). The successful candidate will join a multidisciplinary team in Mechanical Engineering and Civil and Environmental Engineering, and will
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-represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role. Salary from £53,949 to £62,160 pa inclusive with potential to progress to £69,073
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immediately, and is required to end in June 2026 (although funding is in place for a six-month extension). The successful candidate will join a multidisciplinary team in Mechanical Engineering and Civil and
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
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speech and language therapists) chiropractors, clinical psychologists, dentists, dental hygienists, dental nurses, dental therapists, general practitioners, healthcare scientists (in life sciences
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opportunities beyond the course of this grant. This is a two-year full-time role. You’ll be working as part of a larger team on a project funded by NIHR Health and Social Care Delivery Research Programme
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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing