684 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at University of Sheffield
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, software & cloud based applications, configure network services for Windows and macOS. You will organise and coordinate resource and work activities including all aspects of device management and IT support
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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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to submitting your application. How to apply: Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor
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cisplatin-resistant ovarian cancer. See this press release for more details: https://www.sheffield.ac.uk/biosciences/news/new-compound-could-help-treat-ovarian-cancer In this multidisciplinary project you
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Neutron facilities, and method development. This project would suit someone with a background in Material Science, Chemistry, Physics or Computer Science. The student will be part of the MOSAIC group
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Patrick
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Overview This is a fixed-term post designed to provide computational support to the development of the open-source software pipeline TopoStats, and to wider research using Atomic Force Microscopy
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, with an active programme of seminars and a journal club. Funding Notes This project is for Self-funded students or students with external funding. References https://gravity
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programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in biological, biotechnology and biochemical areas as well as equip you with core
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lab (https://thejohnstonlab.sites.sheffield.ac.uk/) will provide training human infectious disease in a variety of in vivo models and novel imaging approaches to understand fungal infection biology and