849 phd-rehabilitation-engineering-computer-science Fellowship positions in United Kingdom
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programme This project focuses on the application of digital health technology to study the contribution of sleep and circadian disturbance to brain function, neuropsychiatric symptoms and behaviour in people
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University of Hull. The successful candidate should have: PhD degree (or close to completion) in materials science and engineering, manufacturing or other suitable engineering disciplines. Research experience
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More Results Research Fellow (Food Science & Technology / Chemical Engineering) - Project (SL2) Employer SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Location Singapore Closing date 17 Aug 2025 View more
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Scientists Please note that candidates can apply to this PhD Programme on a maximum of 3 occasions. Candidates must select two of the advertised projects in order of preference. Candidates MUST contact
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least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with
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training programme or within 4 years full-time equivalent of completing their training programme are eligible to apply. Clinical work during the PhD will be limited to one day per week. Doctors and dentists
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Programme Grant (led by the University of Swansea). The postholder will join a research team of leading academics, research fellows and PhD students conducting engineering design related research and will be
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well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields. Strong
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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in physics, engineering, computer science, and mathematics is essential. Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including