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an original programme of research working with ecologists Dr Fay Voller , Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre for Conservation Science . This PhD is
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This large-scale ecological project investigates the barriers and drivers of post-fire forest recovery. With climate change and the spread of forest fires to new areas, it is important to investigate the conditions that support forest recovery after a fire. The study areas can be defined using...
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This is a self-funded opportunity relying on Computational Fluid Dynamics (CFD) and wind tunnel testing to further the design of porous airfoils with superior aerodynamic efficiency. Building
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motivated applicant to undertake an original and applied programme of research linked to ongoing work led nationally by the Chartered Institute for the Management of Sport and Physical Activity (CIMSPA
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complete application for your chosen PhD programme by the deadline for your department (below). Section 9 of the application asks for your funding intentions. In this section, you should detail fully all
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, participants, materials/apparatus (if appropriate), procedure, analyses References. Please see the Guidelines for Applicants (music education) at www.rncm.ac.uk/research/programme/postgraduate for further
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the PhD studies in the Faculty of Humanities in the academic session 2022-23. Funding provider Engineering and Physical Sciences Research Council Level(s) of study This funding is available to students
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programme that was taught and examined in the medium of English, the minimum overall IELTS score is 6.5 with no score lower than 6.0 in Reading, Writing, Speaking and Listening. Please note that possession
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Location:Hammersmith Campus About the role: We are looking for a Research Associate or Research Assistant to join a research programme studying how the immune system responds to changes in lipid
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning