546 computer-science-intern-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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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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spectrometry–based proteomic approaches, working closely with bioinformaticians to integrate molecular datasets with clinical metadata using advanced computational and systems biology methods, including
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Job Description Position Details School of Geography, Earth and Environmental Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range
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Science, Computational Engineering, or a related field. Understanding of, and ability to contribute to broader management /administration processes. Contribute to the planning and organising of the research
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spectrometry–based proteomic approaches, working closely with bioinformaticians to integrate molecular datasets with clinical metadata using advanced computational and systems biology methods, including
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delivers a co-produced programme of research that serves two key purposes. It provides an evidence foundation to advance the institution's civic mission while creating meaningful impact where it's needed
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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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at the local, national and international levels. We are a diverse team of researchers, technology specialists and security experts focused on delivering tangible solutions for law enforcement and other security
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, government, industry and security stakeholders to address contemporary security challenges at the local, national and international levels. We are a diverse team of researchers, technology specialists and
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spectrometry–based proteomic approaches, working closely with bioinformaticians to integrate molecular datasets with clinical metadata using advanced computational and systems biology methods, including