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and the programme team Where personal, health and/or conduct problems are serious, or pose a threat to the student’s ability to continue on their programme or practice as a clinician, the Director will
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of Greenwich. The Research Systems Administrator (M3 4Impact) is responsible for actively supporting and engaging with researchers working as part of the M3 4Impact expansion programme. A key part of this role
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are central to the student experience they are visible, seamless, effective and tailored to the needs of our student community. As part of this commitment, a transformational programme of work is underway in
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programme of research within the broad thematic of “Africa and the World”, or Africa in the contemporary global order. We are particularly interested in candidates whose research demonstrates a strong and
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programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide-range of
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positions Imperial as a force for good in the world. Through our Imperial Class of 2030 programme, the continued development of our White City Deep Tech Campus, and cross-institutional School of Convergence
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This programme is designed for dissertation topics at the intersection of Philosophy and Psychology that would benefit from supervisors from both disciplines. Students in this programme specifically have a primary
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Our programme is based at the School of Social & Environmental Sustainability, Dumfries Campus. We provide a friendly and focused learning environment, excellent study resources and a high level of
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the Institutes. A variety of approaches are used, including ecology, epidemiology, mathematical, computational and statistical modelling, bioinformatics, parasitology, immunology and polyomics (genomics
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supported by a programme of high quality internal training, a dedicated and cohesive team, and exposure to our extensive network of international colleagues. They also have access to the researcher training