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the development and execution of long-term research strategies aligned with the University’s objectives, securing substantial external funding to sustain large-scale, interdisciplinary projects. The role holder
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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Group. The role will provide an opportunity to work across multiple projects within the realms of Artificial Intelligence and Digital Screening. The role holder will collaborate with cross-functional
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the UK—and make a real difference. This role is part of multiple exciting roles that we are recruiting into across a variety of disciplines for this project. About you For this role you will a have a
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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aligns the University’s research capability, expertise and strengths across a broad spectrum of research and innovations in public health and wellbeing, including a wide range of health related training
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across multiple sites, the candidate is required to be in the office at least two days a week and visit partner sites across the UK. Those with research experience in the areas of health services, health
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seeking access to housing and labour markets. Second, the research will broaden beyond ethnicity to include multiple dimensions of exclusion, such as gender, age, and disability. While spatial analysis and
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, nonlinear optics, and quantum photonics (theory and experiment), hands-on experience with optical setups, including alignment of high-power lasers and optical characterisation techniques; experience with
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, alongside a new UK Multiple Long-Term Conditions Collaborative (UK MTC) funded by NIHR. What we offer in return 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom