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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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team and is interested in joining a programme of discovery research which aims to better our understanding of the underlying mechanisms that drive late-stage kidney damage in people with and without
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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amino acids and growth factors. You will hold a PhD/D.Phil. or be near completion* in microbiology, molecular biology, cell biology or closely related area together with relevant experience and have
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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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them in a future trial. Patient and public involvement in the development, interpretation and dissemination of findings will also be key. About you Applicants will possess a relevant PhD (or nearing
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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and PhD students) and openly share expertise knowledge with team members (e.g. Post-docs). Collaborate with other two post-docs working in this research programme, to deliver on project aims. Contribute
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is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a relevant subject (molecular microbiology, cell biology