565 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of Sheffield
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International Public and Political Communication programmes in particular, and other material as appropriate for our wider journalism teaching portfolio. This will include identifying learning objectives
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to the Faculty, University and Sheffield Teaching Hospital's policies and procedures. Ensure all work is embedded in the University's Strategic Plan. (http://www.sheffield.ac.uk/ourplan/) . Act in accordance with
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universities. We are always looking to work with talented and motivated scientists. Funding Notes This project is for Self-funded students or students with external funding. References https://sheffield.ac.uk
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Optimisation of powder processing routes for plutonium disposition: impacts of milling and additives
instrumentation for materials formulation, processing, characterisation and performance assessment. More information on these facilities can be found at: · https://www.sheffield.ac.uk/royce-institute
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Machine Learning techniques. As Research Associate you will have a research leadership role in the group, and will assist in day-to-day supervision of post-graduate research students. You will collaborate
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the ability to learn new software. Essential Application/interview The ability to handle, manipulate and interpret large data sets, and to work to the highest degree of accuracy with attention to detail
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with an appreciation of longer-term implications. Essential Application/interview Willingness to update and acquire new skills and knowledge in line with advances in the relevant subject area, including
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Overview You will be at the heart of delivering critical IT networking infrastructure and services to all students and staff across the University that enable world class research, learning and
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] Offshore Wind Scotland (2025) Floating wind in Scotland https://www.offshorewindscotland.org.uk/the-offshore-wind-market-in-scotland/floating-wind-in-scotland [2] Ørsted (2025) “Ørsted’s experience with
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contexts. The project will build on both consolidated knowledge in the history of technologies, and the most recent literature on the perception of digital and computer-assisted creative outputs