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disease. Your research may utilise a range of approaches, including targeted genetic murine models, primary cell culture and analysis, multi-omics, and bioinformatics. The biological focus will be
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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and analysis. You will collate and manage outcomes across the project and provide strong and effective communication to ensure cohesion across different aspects of this complex programme. You will
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essentials: • PhD in Physics (or close to obtaining), Engineering or equivalent subject related to mechatronic, control and actuation systems • Demonstrated experience, knowledge, and interest in
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developing ideas for generating research income. You will supervise and mentor students and research staff, providing guidance on methods, analysis, and career development. You will also conduct cutting-edge
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. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This post will focus primarily on ex-vivo and in-vivo peripheral nerve imaging data, for ongoing
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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understanding of dark energy. Projects may span a broad range of topics, including improving Type Ia supernova modelling and standardization, developing and applying advanced data analysis and statistical methods
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experience in genomic analyses, proteomic approaches, imaging analysis, iPS differentiation and bioinformatics would be especially welcome. The post available as a fixed-term contract for 2 years in the first
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and shipping for multiomic and spatial transcriptomic analysis. Validation of targets identified will be performed using bespoke organoid biology approaches on primary tumour and genetically engineered