36 parallel-computing-numerical-methods positions at University of Leeds in United Kingdom
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to work collaboratively with the Health and Care Specialty Programme Leads and Specialty Team members supporting an ambitious programme of work aimed at delivering the organisation objectives. This role
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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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science, and a vivid interest on digital democracy, in particular, the areas of computational social choice (voting methods), deliberation and collective decision making. You will know how to work with data
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programme therefore it is anticipated that the successful candidate will have clinical academic expertise in geriatric medicine, and either a broad interest in ageing research methods or expertise in a
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systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons
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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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the work will include more advanced statistical and causal inference methods using R, advanced use of imaging, clinical trials expertise. The ability to manage your time effectively and work under pressure
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to support them in the introduction of pioneering curriculum design delivery, utilising interactive teaching methods, inclusive and authentic learning, and assessment. We would welcome applications from
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. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. The Research Computing team at the University of Leeds
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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