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heavy and awkward loads as dry goods are stored and moved around the campus on large, metal, wheeled cages. You may on occasions be asked to carry out care-taking duties to ensure that the Refectory and
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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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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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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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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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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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timetabling needs, with an ability to negotiate effectively to mitigate competing demands across the institution, advising on resolution methods. You will be a source of expertise and guidance to staff and
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Data Compliance, Insights and Sharing (EDCIS) project. The EDCIS project focuses on enhancing the University’s current research information system (Symplectic Elements) and replacing the existing