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Field
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focused on precision lung cancer prevention and early detection, with an emphasis on risk prediction modelling using artificial intelligence and machine learning. Major duties and responsibilities include
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), including research programmes in cardiometabolic risk prevention and management, and specifically, remote blood pressure monitoring in pregnancy and the postnatal period. The NIHR MDC is co-ordinated from
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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lifecycle to drive methodological rigour, high-quality outputs, stakeholder engagement, effective risk management and continuous improvement. Supervision and Researcher Development: Build, lead and mentor a
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, ammonia, methanol, biomethane, ethanol, etc.) and electrification pathways for e-fuels. Collect, analyse, and model data related to shipping operations, emissions, energy consumption and risk assessment
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impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal
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on environmental dimensions) The Job’s mission The research fellow will work for the Risk & Resilience Initiative. The initiative is led by Prof. Florian Hoos and based on strong collaborations with Prof. Sophie
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: Natural scientist or engineer wanting to make a difference in sustainable business practice The Job’s mission The research fellow will work for the Risk & Resilience Initiative. The initiative is led by
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for a Research Fellow, Sustainability and Resilience (focus on environmental dimensions) The Job’s mission The research fellow will work for the Risk & Resilience Initiative. The initiative is led by Prof
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and decision science), engineering, environmental studies, public health, statistics/data science, economics, or a related discipline. PhD must be conferred before time of appointment. Experience