436 data "https:" "https:" "https:" "https:" "Inserm" Postdoctoral positions in United Kingdom
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
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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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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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, 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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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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institutes. This position is based in the Centre Centre of Combinatorics, Algebra & Number Theory. Other Centres include the Centre for Probability, Statistics & Data Science, the Centre for Geometry, Analysis
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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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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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knowledge in relevant approaches analysing weather or climate data, or data from related physical systems. Fixed-term until 28 February 2027, with the possibility of an extension of up to 19 months
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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