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, we're an outstanding university for students and awarded Best-ever performance in NSS & TEF (Gold) & REF. Join us and be part of a world class team, committed to growth, innovation and transforming lives
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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Institute and Centre Lead for Cancer Genomics and Computational Biology at Barts Cancer Institute, Queen Mary University of London). We welcome applications from all qualified candidates. Research staff
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. R, Stata, Python, or similar). Skilled in writing and/or contributing to high-quality manuscripts for submission to peer-reviewed journals. Demonstrated ability to independently manage research tasks
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in running hydrogenation reactions using both heterogeneous and homogeneous catalysts, and have experience in catalyst design and reaction intensification in batch and continuous flow. A high level of
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to ionising radiation and clinically relevant drugs. A strong focus of this research is to study the specific functions of key DNA repair enzymes in high detail, how they function as a network to facilitate
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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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grant 'High Resolution Radar Imaging of Pyroclastic Density Currents’, in collaboration with University College London, and the University of Liverpool. The successful applicant will work primarily with
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests