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on a research programme which aims to obtain quantitative information regarding long term outcomes in early breast cancer. Contributing to several projects, you will collate and link data, design
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computing and associated increases power demand and procurement costs. This role will support the creation of a network of experts, a team of champions and a portfolio of community projects to provide UKRI
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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midwives, nurses, patient and public contributors, as well as NHS sites who are providing data for the programme. As a Medical Statistician you will contribute to a wide range of tasks across the project
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. The role includes leading statistical work for two major NIHR-funded initiatives: the Oxford BRC “Big Infection Diagnostics” programme and the Health Protection Research Unit on Antimicrobial Resistance
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We are looking to appoint a postdoctoral researcher, to work with a group of UK Higher Education Institutions to deliver a programme of mental health research. The work is funded by the Medical
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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seeking to appoint a Departmental Lecturer in Educational Assessment. The post-holder will contribute to the teaching and supervision of students on the MSc Educational Assessment (MEA) programme offered