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-makers of tomorrow. Through a bespoke training and mentoring programme, Fellowships will provide successful candidates with the opportunity to excel as an excellent self-directed researcher, develop
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computational skills and aptitude for statistical analysis of climate data. The successful candidate will primarily conduct analyses of the meteorological impacts of climate change but gain opportunities to work
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interdisciplinary team on developing high performance urban farming module via computational and empirical analysis Support in the design and maintenance of the vertical farm to be setup in SIT@Dover and willing
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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We seek to appoint a Postdoctoral Research Associate/Fellow to work in a vibrant and multidisciplinary project funded by the EPSRC Working with Centres Programme under the supervision of Dr Anabel
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of the research programme as discussed with the fellowship supervisor. Contribute to research group planning. Coordinate and liaise with other members of the research group over work progress. Supervise research
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Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected
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About us The School of Neuroscience at King’s College London is the second largest university neuroscience department in the UK, with approximately 100 faculty and a total of 600 staff and students. The School holds approximately £220 million in currently-active research grants, and, out of all...
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and training in generic transferable skills organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk