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Field
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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://aria.org.uk/opportunity-spaces/resilient-climate-and-ecosystems/accelerated-adaptation for more information on ARIA and this programme). The project is a collaboration between groups at the Universities
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hold a relevant PhD/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Computer Science, or a closely related subject (preference will be given to those
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society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine (CGTRM) within the Faculty of Life Sciences & Medicine
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, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure for streamed data that enhance contemporary generative and large
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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(CGTRM) within the Faculty of Life Sciences & Medicine. We are seeking to recruit a postdoctoral research associate to contribute to an innovative translational immunology programme led by Professor Graham
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Biology demonstrated by good research track record Familiarity with SAXS methods and data analysis Relevant experience with data collection, processing and data analysis for complex multidimensional NMR
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for a postdoctoral researcher with a strong background in epidemiology, biostatistics or a related field to contribute to the ATLAS Cancer Grand Challenges programme and the Unit’s broader portfolio