658 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Sheffield
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Overview Data Connect (https://sheffield.ac.uk/data-connect ) is a strategic priority initiative by the University of Sheffield and is one of the University’s Centres of Excellence. It has direct
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on the Finance department can be found at the following web link: http://www.sheffield.ac.uk/finance Main duties and responsibilities Act as a recognised source of financial support and advice to Principal
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) Duration Permanent - starting on 9.2.2026 or as soon thereafter Line manager Programme Director Direct reports none Our website https://sheffield.ac.uk/psychology For informal enquiries about this job
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of high-energy theory, string theory, and modern mathematics, offering opportunities for both analytical and computational research within a vibrant international collaboration network. Please note: due to
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- End Date 31/5/2028 Line manager Mark Taylor Direct reports n/a Our website https://www.sheffield.ac.uk/education For informal enquiries about this job contact Mark Taylor, Senior Lecturer in
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/week Duration: March 2026 – March 2028 Line manager: Professor &/or Senior Scientist &/or Research Fellow Direct reports: Professor &/or Senior Scientist &/or Research Fellow Our website: https
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routes and non-standard programmes. Operating within a central team, you will develop specialist knowledge of a portfolio of programmes and associated processes, working closely with department colleagues
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and workshops to campus-based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as: Data Analysis; Big Data Analytics
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), and high-resolution mass spectrometry analysis of root exudates. The project also provides opportunities to develop computational data analysis skills. CANDIDATE PROFILE We seek a highly motivated
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, bioinformatics; Utrecht & Sheffield) High-resolution metabolomic analyses (LC-MS/MS, MALDI-timsTOF imaging; Sheffield) Computational integrative analysis of plant transcriptomic, metabolomic, and microbial