272 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in United Kingdom
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inventory data from mature and secondary forests with assessments from restoration sites. You will be expected to perform data analyses, author research papers, lead field expeditions to Brazil to fill key
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volcanic sequences and reconstruct a model of its volcanic plumbing system architecture. You will collect mineral texture and composition data using a range of geochemical methods including SEM, EPMA and LA
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modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
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streams to meet deadlines. Informal enquiries may be addressed to Professor Oosterbeek and/or Dr Graham (email: reece.oosterbeek@eng.ox.ac.uk or aaron.graham@eng.ox.ac.uk) For more information about working
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, the Cancer Treatment Outcome Programme at the Country Durham and Darlington NHS Trust. Experience conducting quantitative research including data collection, management, and analysis is essential. Experience
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information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 4 March 2026 can be considered. You will be required to upload a covering
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contribute to hypothesis-driven research, data analysis and assay development within an integrated drug discovery framework. The role also involves managing independent research activities, contributing
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-molecule inhibitors. The postholder will use structural, biochemical and microbiological data to inform molecule design, generate and test hypotheses, and develop new synthetic methodologies. Alongside
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enzyme assays A strong understanding of high-throughput and automated/semi-automated workflows in laboratory techniques relevant to the post Excellent skills in experimental design, data analysis
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to appoint a highly motivated and experienced postdoctoral research associate in computational materials chemistry. The position is funded by the EPSRC project “Data-driven design of organic mixed conductors