29 professor-computer "https:" "https:" "https:" "https:" "https:" "U.S" "St" Postgraduate research jobs in United Kingdom
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updates. Minimum Requirements (Essential) Education PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Biomedical Engineering, or a related field. Technical Skills
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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior
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Part time fixed term Location: York Salary: £31,236 to £33,951 per annum (£18,741 to £20,371 pro rata) Introduction to York St John Situated in the heart of the historic city of York, and with
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the School of Computer Science and Informatics, working closely with Dr. Valerio Selis, and Professor Alan Marshall. About the benefits Join us and you¿ll be part of a supportive and collaborative community
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challenges. The role will be based in the School of Computer Science and Informatics, working closely with Dr. Valerio Selis, and Professor Alan Marshall. About the benefits Join us and you’ll be part of a
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We are recruiting a Senior Research Fellow in Infectious Disease Modelling to join a collaborative research programme in partnership with the Modelling and Simulation Hub Africa (MASHA
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education and deprived areas (REAL-DEP, Phase 3). The Research Assistant will work closely with Professor Karen Duke and Professor Betsy Thom. The researcher must have a postgraduate degree in a relevant
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. The post holder will work closely with Professor Julia Davidson OBE, Director of ICC and the Think Tank, alongside a multidisciplinary research team. Key Responsibilities Include: Supporting and undertaking
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to a positive and collaborative research culture that supports open enquiry and diverse perspectives. Additional information Informal enquiries are welcome and should be made to Professor Martin Tobin
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Research Associate to support the work of Professor Angus Jones and the world leading Exeter diabetes research team. The successful applicant will work on a Diabetes UK funded project using data from >5000