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project meetings. You will have a PhD in atmospheric science or climate science, including experience of running and analysing numerical models, and an appreciation of machine learning methods suitable
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patient safety. Our methods include: systematic literature reviews; qualitative, quantitative and mixed methods studies; complex intervention development; evaluation of interventions, including trials. We
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have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
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should have a PhD (or close to completion) in structural biology or a closely allied discipline, with experience in cryo-EM, as well as protein expression and purification. The University of Leeds and the
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Mamatha Nagaraj, Prof Helen Gleeson, Prof Gordon Love, and Dr Richard Mandle and at the University of Leeds. You will have an experimental PhD degree (or have submitted your thesis before taking up the role
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Mamatha Nagaraj , Prof Helen Gleeson , Prof Gordon Love , and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
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statistical methods. We are committed to supporting and developing our team members, through attendance at conferences and access to training in research methods, and will support you to further develop your
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will join a team with a strong history of applied research in the areas of production and consumption. You will be required to use a range of both quantitative and qualitative research methods and apply
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large team with colleagues in Leeds studying other aspects of blood clot structure and function and their influence on thrombosis. You will have a PhD in molecular biology, cell biology, biomedical
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the context of global climate change. The work will entail developing quantitative prediction models that will be integrated to wider health systems software for the predictions to be directly used for early