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outputs with electrochemical performance data from a variety of analytical techniques (e.g. diffusion, conductivity, power density etc) (D) Highly confident and articulate with outstanding communication and
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neurodegenerative disorders. The role centres on enabling high-quality, reproducible analysis across prescription data, longitudinal clinical records, wearable time-series data, and multi-omics datasets, with
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of national health care provision through data-informed resource allocation and strategic planning and investment. The post is funded by the Wellcome Trust, and the post-holder will join a team based across
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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application of these methods using data collected as a part of the Discern project. You will contribute to the development of the epidemiological and analytical plans, conduct the data analyses, interpret
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high-quality research publications. - Expertise with gravitational wave data analysis in any frequency band is desired but not required. Application Materials Please submit: - Cover letter - CV - List of
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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and experimental data, the student will develop predictive models of strand displacement reactions in non-ideal settings, in collaboration with the other students within BIOHYBRITE. These areas include
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up to 36 months available from 1st October 2026. More information about the Department of Physics and Theoretical Physics at Imperial and the staff benefits that we offer can be found on our webpages
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with