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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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communicating our research; and generating new research and grant opportunities. It is essential that the post-holder has a doctoral degree (PhD or DPhil) in physics, engineering, or another relevant discipline
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high-impact research in a collaborative, interdisciplinary environment spanning medical statistics, epidemiology, clinical microbiology, and data science. You’ll work with large-scale electronic health
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use
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Contract & job type: Fixed-term, Full-time until 31 October 2026 About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological
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near to completing a PhD in neuroscience, biology, or a related discipline. • Experience with hardware development, sensor integration, or custom device fabrication. • Experience with
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University and the College community. About you The ideal candidate will hold a PhD in social or behavioural sciences, data science, public health, epidemiology or closely related discipline, with an
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may also contribute to other areas of teaching, research, and academic administration of the department. The successful candidate will hold a relevant PhD/DPhil or be nearing completion. They will have
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, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large volumes of sensitive trial data in
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will be responsible for designing, planning and running experiments under the supervision of a senior Post-doc, for analysing and interpreting data, and contributing actively to publications. Detailed