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professional image. You will effectively manage a small team to undertake a range of reception and related admin duties, including responding to telephone and email enquiries, greeting visitors, taking meeting
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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) images, specifically exploring at-risk fetal populations from the comprehensive INTERBIO-21st dataset. Ultrasound imaging is the cornerstone of pregnancy care globally. The OMNI lab has developed
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-disciplinary team of clinicians, radiographers, nurses and physicists spanning both the University of Oxford and NHS Departments. The successful candidate will have the opportunity to work on exciting prototype
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A postdoctoral position is available in Prof. Ivan Ahel’s group based in the Sir William Dunn School of Pathology, University of Oxford to study the interplay of ADP-ribosylation and ubiquitylation
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clinical data, human tissue and medical imaging to support research scientists across the Medical Sciences Division. The position will support our ambitions to give patients an opportunity to take part in
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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into Digital Bodleian, including images of rare books and manuscripts, maps and modern archival items. You will use online information sources and printed catalogues to source and check bibliographic metadata
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A postdoctoral position is available in Prof Ivan Ahel’s group at the Sir William Dunn School of Pathology, University of Oxford to study interplay between ADP-ribosylation and ubiquitination