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experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only
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into commercial R&D, and participate in government and industry working groups. Impact and Career Development This project aligns with EPSRC and University strategic priorities in energy, decarbonisation, and AI
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delivers high-impact teaching, research, and industrial collaborations. The project sponsor Dynex Semiconductor is a leading international high power semiconductor business, and has a manufacturing and R&D
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Do you want to join a dedicated and friendly team who support a wider strategic remit? The Research and Knowledge Exchange (RKE) Development team, part of Research and Innovation (R&I) supports
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International Relations. The ability to teach quantitative methods using R is an essential criteria for the role. Working as part of a team you will be expected to plan and manage your own teaching in a variety
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with research experience, as this post is available on an R&T (Research & Teaching) contract. We also welcome applications from those who do not yet have research experience but do have a background in
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), behavioural experimentation and analysis, statistical data analysis (e.g. in R), molecular biology lab skills and familiarity with relevant scientific literature. Applicants must have, or be very near
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of specific funding calls and ensure these are effectively communicated across the institution. This role is to provide maternity cover. R&I provides comprehensive support throughout the research and
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at AqSorption in Nottingham, you will report to the Managing Director and work closely with AqSorption’s commercial and R&D team. Fully supported by academic experts within the University’s School of Chemistry
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FTE. Most candidates are expected to start on 01 October 2025, however requests for delayed starts will be considered. Value A Doctoral Prize salary of £37,174 (R&T4a spine point 29) per annum, with