305 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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Application/ interview Further Information Grade: Grade 8£48,822 - £58,225 Duration:12 months, to start as soon as possible and no later than mid March 2026. Line manager: Programme Director Direct reports
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encouraged to contact the project supervisors to discuss your interest in and suitability for the project prior to submitting your application. Please refer to the EPSRC DLA webpage for detailed information
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data centres. The University of Sheffield has an existing testbed for evaluation of low carbon technologies at dwelling level (the Low Carbon Laboratory) and is working with Local Authority and
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that can provide information about liquid film uniformity and structures as it dries. It is known that electric fields can be used to push water droplets (a polar liquid) along patterned electrode surfaces
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of part-time work with local employers To support the production of management information relevant to the service as and when required. To use, monitor and maintain specialist/technical systems to manage
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physics, mathematics, and engineering, including wave modelling, data analysis, but you can choose to focus more on the physics or on the engineering side. It is run in collaboration with Johnson Matthey, a
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, breakthroughs increasingly depend on the ability to process vast amounts of information quickly and efficiently. But as our appetite for computing power grows, so does its cost both in terms of money and
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with experience of molecular biology and ideally plant biology. You will have excellent organisational, communication and record-keeping skills and be able to communicate technical information clearly
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). This often means missed opportunities for earlier, more efficient intervention. The goal of this PhD is to change that by developing a data-driven framework that helps predict, prioritise, and prevent
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, personalised treatments, and systematic evidence verification. This is a complex information integration problem, where clinicians must analyse vast, heterogeneous, and fragmented clinical knowledge. Clinical