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with researchers from other disciplines within the Oxford Martin Circular Battery Economies Programme, who are working on second-life battery modelling, re-certification, and redeployment, as
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demonstrated ability to analyse and interpret complex multidimensional data. You will have experience of working with biomedical datasets, such as cancer data and/or spatial data, and experience of programming
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demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance
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cognitive psychology research and neurofeedback training. Advanced programming and statistical skills, with the ability to manage multiple competing demands along with excellent communication skills are also
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sciences discipline, you will be self-motivated, imaginative and able to plan and deliver a research project. You will have a PhD (or be near completion) in one of the above disciplines and have experience
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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the initiative, they will also work closely with other researchers within the Sheppard/Maiden Labs and the IOI, to integrate their work within the broader research programme. With excellent
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. The advances made will contribute to our active existing research programme in which utilises THz technologies for optical-pump-terahertz-probe experiments to extract mobility values of semiconductors. The role
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Novo Nordisk funds a prestigious fellowship programme at the University of Oxford, supporting basic science researchers in diabetes, obesity, cardiovascular diseases, and other cardiometabolic