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of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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industry, as well as academic groups in chemical biology, chemical engineering, and data science. We have an excellent structure for the continued education of our group members and offer teaching and
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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
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an appropriate field (e.g. Immunology, biomedical science, biochemistry, Molecular biology) and/or have relevant experience at an equivalent level, together with some hands-on experience in animal handling, flow
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efficient DNA repair, and particularly, how this impacts mutagenesis. The postholder will assist with a variety of molecular biology experiments to identify and characterise DNA damage response mechanisms
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, one of the world's most vibrant centres of biomedical research, which includes the University of Cambridge's Clinical School, two major hospitals, the MRC Laboratory of Molecular Biology, and the
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security check. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. For more information about our research please see: https
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analysis of linguistic data Theoretical and empirical implications of the datasets for publication purposes Close interaction with the research team in Cambridge, India and Frankfurt The successful candidate