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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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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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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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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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, 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
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assimilation, and multiple data sources to address two key research questions about water-energy interactions at biophysical scales: What are the scales of SM variability across different landscapes and their
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. The fellowship will focus on a topic of the Fellow’s own choosing related to planetary health, which aligns with the priorities of both Centres. This two-year Fellowship will give the researcher the freedom
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assimilation, and multiple data sources to address two key research questions about water-energy interactions at biophysical scales: What are the scales of SM variability across different landscapes and their
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on applying multiple quantitative approaches consistent with intersectionality theories to study social inequalities in youth population mental health. Throughout the project, existing data from multiple cohort