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of Neuropathology of the Nuffield Department of Clinical Neurosciences of Oxford University. Storage facilities exist in the West Wing of the John Radcliffe Hospital and OBB stores samples and data relevant
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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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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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of database specification documents (case report forms) that have been developed by the wider trial team, the primary role of the post holder is to use these to create data collection systems for trials
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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
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health data, development and testing of solutions using rigorous methods of evaluation recognised in Global Health, and a focus on highly scalable, cost-effective solutions that can be delivered at scale
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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, including genomic sequencing (e.g. Genomics England and UK Biobank), RNA-sequencing, and ribosome profiling data to develop new insights, uncover novel rare disease diagnoses, and identify new therapeutic
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/or growing interest in extreme events, climate change, attribution/causality analysis, epidemiology, public health, ECD, and data science. The Research Associate will be proficient in programming
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script