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at the University of Oxford. Although near-Ambient Pressure XPS has enabled operando measurements of surface chemical processes in recent years, it is limited to low pressures (~ mbar) and complex, dedicated
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a complex organisation. The ability to maintain data to the highest levels of accuracy is essential along with strong IT skills. You must have excellent interpersonal skills and the ability to deal
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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structural maintenance of chromosomes (SMC) complexes shape chromosomes by DNA loop extrusion, how they cooperate with DNA topoisomerases, and how bacteriophages and other infectious agents manipulate host
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The post-holder will join a team of investigators working on the NERC-funded Pushing the Frontiers grant ‘Influence of complex source and environmental source conditions on eruptive plume height
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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Contract type Fixed Term (13 months in the first instance) Hours Full time (37.5 hours/ 1 FTE) About the role The Policy and Evidence Centre on Modern Slavery and Human Rights is a policy-oriented
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require a deep understanding of the classical infrastructure that supports them, including analog control systems. As quantum devices scale toward the million-qubit regime, modeling these complex systems