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models to study direct interaction between macrophages and other tissue resident cells. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining
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to completion of a PhD or equivalent qualification in computational fluid dynamics or applied mathematics. What we offer At the university of Oxford your happiness and wellbeing at work is important to us. We
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longitudinally collected sequencing datasets (both Illumina and Oxford Nanopore) of clinical isolates that can be linked to electronic healthcare record data and/or metagenomic data. These unique datasets provide
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
recommendations for the effective adoption of these solutions. You should possess a relevant PhD/DPhil (e.g. in Design, Business, Engineering or a related discipline) and sufficient specialist knowledge in
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be close to completion of, a PhD/DPhil in a relevant scientific field (e.g., Immunology, Biology, Biochemistry, Medical Laboratory Science), sufficient specialist knowledge and relevant experience
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amino acids and growth factors. You will hold a PhD/D.Phil. or be near completion* in microbiology, molecular biology, cell biology or closely related area together with relevant experience and have
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of inherited heart disease. Candidates should hold a PhD or MD with significant experience in cardiology, and experience in cardiac imaging (Echo andor CMR). A strong track-record of first author and/or senior
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of, a PhD in Biology or a related subject. You should have a high level of competence in cell biology and microbiology, and relevant experience demonstrated by publications in high-profile journals
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. You will work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely