279 data-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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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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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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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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, "INFORMED-AI" hub. More details can be found about the INFORMED-AI hub at. The post is fixed term for 24 months with the start data as May 1st , 2026, and the end as April 30th , 2028. The successful
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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
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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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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. Developed at the University of Cambridge, Tessera enables highly efficient extraction of temporal patterns from Earth observation data, which we aim to use to track recent changes in landscapes managed