21 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" research jobs at Imperial College London
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Practical experience of scanning electron microscopy including electron back scatter data processing and analysis (E) Highly confident and articulate with outstanding communication and persuasive skills both
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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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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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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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in analysis of physiological data, MRI imaging and statistical analysis of crossover design studies and epidemiological datasets. Manage own research and administrative activities. Publish research
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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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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
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modelling to address missing data and uneven data collection across different centres. Second, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling