675 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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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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UKRI Future Leaders Fellow in delivering a large and ambitious research programme linking advanced materials science characterisation and understanding with industrial processes to improve the quality
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undertake administrative support tasks, for example, order materials and invoicing. The postholder will be responsible for laboratory-based research support, equipment maintenance, and health and safety
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day planned and reactive maintenance of electrical elements, across the whole campus. A technical knowledge of Health & Safety standards such as BS7671 is essential as periodic inspection and testing
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Work arrangement Full-time Duration The project must be completed by 30 July 2026. Line manager Professor of Physical Chemistry Direct reports N/A Our website https://sheffield.ac.uk/mps For informal
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Mentors and Residence Life Mentors Our website https://sheffield.ac.uk/accommodation/residence-life For informal enquiries about this job contact Claire Marriott, Residence Life Manager on claire.marriott
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, merging differentdatasets,and securely managing data. You will work closely with other members of the project team and stakeholders including clinicians and people with lived experience of treatment
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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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property according to University practices. A proactive and action oriented approach to health and safety that contributes to a continuously improving research environment. Assisting with training and
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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