227 computer-science-image-processing positions at University of Birmingham in United-States
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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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a role model and fostering an inclusive working culture Person Specification BSc (Hons)/Masters level in a relevant field, including statistics, mathematics, computer science, epidemiology Strong
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managing a team to devise and implement a new and/or revised process (e.g. new programme or a recruitment drive); Advising on personal development of colleagues and students; Making a major contribution to
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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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potential progression once in post to £87,974 Grade: 9 Full Time, Permanent Closing date: 25th September 2025 UK and International travel may be required for this role. Academic Development Programme - new
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publications or parts thereof, for example at seminars and as posters. To a limited degree, to support the HEU teaching programme, particularly in relation to the Masters programme in Health Economics and Health
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of studentships including overseeing the recruitment process for MRC DTP. Promotion of DTPs/iDTP via Twitter and LinkedIn, sharing student success stories and promoting of events; Programme management of MRes
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at various stages of the recovery processes and then develop strategies to regenerate the material to allow use in new cells. A truly interdisciplinary project within the College of Engineering and Physical
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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
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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