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PhD project The GlareRet project, aims to explore long-range interactions within the retina in relation to aging and also in patients with retinal disease. This study is based on empirical observations which suggest that, in some subjects, stimulation of the peripheral retina affects visual...
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Ref NumberB02-07042Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed
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India’s contribution. It will utilize film and photographs from the British Ministry of Information, housed in IWM's collections, and seek materials from other archives to offer a more comprehensive
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: Computer Science, Cognitive Science, Colour Science Project start date: 1st October 2024 Supervisors (*lead): Dimitris Mylonas* (Northeastern University London) Alexandros Koliousis* (Northeastern University
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The School of Science and Technology, with its industrial partner 4BetterDevices GmbH, offers a studentship for the development of machine learning methods for feature selection and sensitivity
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sustainability challenges, particularly in terms of waste management and resource depletion. The "Battery as a Service" (BaaS) business model has emerged as a promising approach for transitioning toward a
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new excipient technology is available within the Manufacturing Futures Laboratory, UCL East campus. The studentship will commence on 1st October under the supervision of Dr. Vikramjeet Singh
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to catalyse growth of conservation efforts that benefit nature and people. Our efforts aims to advance frontiers of knowledge and enable science-based efforts to inform appropriate scaling of conservation
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Engineering , Department of Materials , and Centre for Environmental Policy . The mission is ambitious: To develop new sustainable materials, recycling technologies, engineered and nature-based carbon capture
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(or hold) of a PhD in the area of Structural Engineering and/or Construction Materials. Equivalent professional experience will also be considered. Experience in experimental work and numerical modelling