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supports salary, research expenses, PhD fees (UK level) – applicants who are not eligible for UK fees need to evidence that they can pay international PhD fees in their application. This is a full time post
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
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Queen’s Communities and Place (QCAP) is an AHSS Faculty flagship research initiative based in the School of Social Sciences, Education and Social Work. It launched in November 2021, and supports
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annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS. This is a full time, fixed term position for 12 months. The Oxford
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includes embedded and sensing systems, tinyML, data science, AI and software development. Responsibilities encompass active involvement in the ProSensing project's development activities, such as AI on Edge
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an exciting opportunity to contribute to a high-impact, mixed-methods study that champions inclusive, ethical and co-produced research with people living with dementia and their carers. You will work
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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working will be considered. Contract type: Fixed term contract Fixed Term Period: Until 31 July 2026 Salary: Research Fellow: Full time starting salary is normally in the range of £37,337 to £44,906 per
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally