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and collaboration. Duties and responsibilities This is an exciting opportunity to conduct ambitious research at the interface of information theory, statistical machine learning and robotics
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innovation and broad-based access to quality medicines and products. The DCP Development Engineering team is responsible for the new product development and engineering for a variety of medical device and
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(). About you The successful candidate should have a PhD in epidemiology, quantitative social science, statistics or other relevant discipline, postdoctoral experience conducting high quality academic
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About the Role Applications are sought for the post of Senior Lecturer / Reader in Medical Statistics / Epidemiology, in the Centre for Advanced Cardiovascular Imaging within the William Harvey
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skills and experience: Essential criteria BSc (2:1 or above) in Physics or other relevant field - (Grade 5) PhD awarded or near completion in radiobiology, computational modelling, medical physics or other
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, due to limited amount of funding available. About you The postholder will have a PhD in a relevant discipline – which might be either more technical or related to the substantive topic area. Disciplines
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BACKGROUND The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. The Alan Turing
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student dissertation support by way of advice on study design, data collection, statistical testing and dissertation marking. You will manage our research lab, support research project applications and
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systems scientists, PhD students and support staff, and will be expected to contribute to various large-scale projects. Duties and responsibilities With a PhD in epidemiology, statistics, data science, or a
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imaging, electrocardiogram (ECG) and electronic health record (EHR) data to improve diagnosis, management and outcomes of heart failure. About You You will have either a PhD in the relevant subject (e.g. in