764 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Fellowship research jobs in United Kingdom
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must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires proven expertise in data science or related fields, with strong skills in quantitative analysis applied
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the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods of precise genome manipulation and subsequent in vivo phenotyping (e.g. high resolution 4D imaging) and
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge
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field. A Masters/Ph.D. in food science and food technology would be advantageous At least 3-5 years of proven experience in food product development and research, preferably within a similar programme or
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all procedures with clinical trial volunteers and you will provide broad clinical support to the HCV CHIM program (working with the project team, including a project manager). Giving clinical input
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part
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relevance. About you - You will: • Hold a doctorate in chemical engineering or a similar process-based discipline. • Have experience of creating and optimising chemical process models • Have a track
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Evaluation of a family intervention. The evaluation is being funded by the National Institute for Health and Care Research Three Schools Prevention Research Programme. We invite applications from candidates
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester