736 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United Kingdom
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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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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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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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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adaptive platform designs. This will include contracting and programme management, delivery of work to time and target, dissemination of findings to academic and public audiences, and reporting to funders
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within the UK. The post holder will work closely with principal investigators and other senior researchers to oversee the set-up and delivery of the OPT-IN award, including contracting and programme
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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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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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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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estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies