271 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEUP" positions at University of Sheffield
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progress and attendance data to ensure that students meet milestones on time, reporting data to the Faculty Doctoral School Manager. Support the PGR application process, working closely with central
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engineering. Recent advances in large language models (LLMs), such as ChatGPT, GitHub Copilot, and similar systems, have shown that these models can generate computer code from short pieces of text (i.e
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an automatic image analysis pipeline to correlate learnings from AFM and super-resolution data. Work closely with collaborators to design an experimental set-up applying the previous tools above to test the
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gas emissions. These will be developed in collaboration with domain experts, Multus-tech, Valcourt and Rothamsted. The latter will provide access to their data. 4. Integrate counterfactual reasoning
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. Assessment stage: Interview / Application Experience of running a workshop or similar technical facility. Assessment stage: Interview / Application Further Information Grade: 5 Salary: £27319 rising to £33951
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engagement and involvement co-production methods (such as the development of accessible information and research methods, working in collaboration with partners, seeking their advice and acting on it and
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is on mathematics and computation. At the heart of the project are value-based decision problems. Here, an agent receives noisy information about the value of several possible options. The agent must
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appropriate information and advice to callers, often helping determine who at the University callers need to liaise with. Using the University’s Finance systems and following budget approval, create and convert
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Essential Interview / Application Further Information Grade 4 Salary £25,249 - £26,707 per annum with the potential to progress to £28,778 Work arrangement Full-time (35 hours per week) Duration Permanent
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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