742 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs in United Kingdom
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publications and conference presentations Working collaboratively with academic and clinical partners and supporting open science practices This is a full-time role working 37 hours per week on a fixed-term
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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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partners and supporting open science practices This is a full-time role working 37 hours per week on a fixed-term basis for 18 months. The project is due to start 02 February 2026. For an informal discussion
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or lars.johanning@plymouth.ac.uk For more information on School of Engineering Computing and Mathematics please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme
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Postdoctoral Research Associate or Fellow to participate in the Global Health Research Group on Community Food for Human Nutrition and Planetary Health (Global CFaH) https://communityfoodplanetaryhealth.org
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engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are
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the applications of Machine Learning. Dr. Anthony Bellotti is Professor in the Department of Computer Science at UNNC. He received his PhD in machine learning from Royal Holloway, University of London
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets