22 linked-data-"https:"-"https:"-"https:"-"Keele-University" research jobs at Imperial College London
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data pipelines for smartphone, wearable, molecular and clinical datasets to advance early detection and monitoring of pulmonary arterial hypertension. You will work closely with computational scientists
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role in a major research project, as directed by Mr Piers Boshier and other academic supervisors. The research project will entail project design, experimental work in addition to data analysis and
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. This key role will lead study coordination, recruitment, assessment, monitoring, and testing of patients in this experimental clinical study, as well as in our linked prospective observational cohort led by
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information on the post, please contact Naheed Khan (n.khan2@imperial.ac.uk ) and Simon Partridge (s.partridge@imperial.ac.uk) Attached documents are available under links. Clicking a document link will
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Interested candidates are invited to submit their applications through the following link: IC Design Research Engineer / Fellow Job at Imperial Global Singapore Imperial College London and Nanyang
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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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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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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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these representations to guide the identification, by debate, of (non-)compliance to PRLs of LLMs and T2Is; O3) in the case of non-compliance, using information conveyed in the debates to enforce PRLs on LLMs and T2Is
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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