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unique opportunity to develop your career in the intersection of: Healthcare, Academia and Industry. Your research will translate to real world impact that improves patient journeys, healthcare system
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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provides an excellent environment for multi-disciplinary research and teaching. We are seeking a postdoctoral epidemiologist with experience of epidemiological data analyses to join our team in the Cancer
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will develop numerical models using finite-difference methods with increasing complexity and benchmark against analytical solutions, adapt the existing theoretical and computational frameworks, including
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ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. Topics in the research programme include single- and multi-modal video-based human-machine collaboration
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understanding of the set-up and “muscle memory”. You will develop scalable and autonomous calibration frameworks to optimise quantum device performance. Machine-learning based algorithms will then make
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and field trial pipelines. The longer-term goal is to develop a whole plant model that can integrate with in-field phenotyping to provide early predictions of yield potential of different genotypes. How
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and teaching. We are seeking a postdoctoral epidemiologist with experience of epidemiological data analyses to join our team in the Cancer Epidemiology Unit. You will be joining our collaborative
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at the Universities of Oxford, Edinburgh, Strathclyde and Sheffield. CoTide’s team of around 35 researchers and academics will develop holistic integrated models covering all aspects of tidal stream turbine design that
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together world-leading centres at the Universities of Oxford, Edinburgh, Strathclyde and Sheffield. CoTide’s team of around 35 researchers and academics will develop holistic integrated models covering all