49 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions at University of Birmingham
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PhD, or near to completion (or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology Strong mathematical and quantitative skills Familiarity
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Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs
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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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Job Description Position Details School of Chemistry Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with potential
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over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
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to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are looking for a Research Fellow to work in
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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those