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those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful. You
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, including single-molecule imaging, biochemical and biophysical approaches. The post holder will be an integral member of the Gruszka Lab providing crucial support in image processing and quantitative data
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181098 Data Collection and Processing Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 3: Salary in the range of £26,948-£27,233 per annum
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medical image analysis and natural language processing, with applications in cardiology within a global context. You will be responsible for the design and testing of bespoke AI models for cardiac imaging
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projects, with a key focus on the recruitment of research participants. The post holder will also provide support to other members of the research group, including postdocs, research assistants, technicians
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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The Oxford-Hyundai Motor Group Foresight Centre is a major research centre located within the University of Oxford’s Saïd Business School. Funded through a generous research sponsorship from Hyundai Motor Group, the Centre is led by Oxford strategy faculty Rafael Ramirez (Director) and Trudi...
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180500 Data Collection and Processing Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 3: Salary in the range of £26,948-£27,233 per annum
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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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the CHEDDAR Communications Hub and is fixed term for 6 months. You will be contributing to an impact project on sustainable computer networks. In this project, Oxford and UWL are deploying carbon-aware