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experienced, multi-disciplinary team of researchers from LSHTM, University of Oxford, University of Manchester, UK Health Security Agency and the University of Nottingham. The team is jointly led by Professor
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strategy to minimise non-biological variability in the measures and iii) implement it at the acquisition and/or image processing level. The project is in close collaboration with the University of Manchester
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, University of Manchester, Turing Institute, and HMGCC. You will develop new low-power systems and ML algorithms to significantly extend the capabilities of onboard AI when used in small satellites for earth
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collaboration with the Universities of Manchester and Essex. You will join be responsible for the design, implementation and evaluation of the first generation of Chameleon processors. You will work on a soft
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ECS in collaboration with teams at the University of Cambridge, University of Manchester, Turing Institute, and HMGCC. You will develop new low-power systems and ML algorithms to significantly extend
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of emissions. It is expected that the post-holder will work closely with co-investigators at the University of Manchester and other project partners, prepare and lead research publications in high impact