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A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media – i.e., the light, volume and pitch changes from
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mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and enrol in the PhD programme, with fees funded
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population-based studies. Using data from 11 million vessel segments from over 200,000 CFPs, we have shown that retinal vasculometry can predict cardiovascular disease as well as established risk scores and
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economics. The successful candidate will play an integral role in launching and running the new LSE Green Skills Lab at the Grantham Research Institute, supporting data-driven, policy-relevant research
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research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced
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correction. This machine-learning approach, however, needs a realistic model of light propagation in the retina in order to validate it and to generate the large volumes of training data required. Funding
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operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
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You will be collecting, analysing, and presenting data throughout the study informing the intervention and app and contributing directly to the education/instructional videos contained within them
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protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
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for automotive applications” BCAST is a specialist research centre in metallurgy with a focus on processing of metallic materials for lightweighting applications. See www.brunel.ac.uk/bcast for more information