18 data-"https:"-"https:"-"https:"-"https:"-"MPG" 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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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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gas challenges. You will particularly gain skills in the principles and practice of running mechanistic clinical studies from practical aspects through to handling data. In addition to supporting
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and managing aspects of an academic lab Proven track record of research in their area of expertise on alternative proteins or closely related area Experience in analysing biological experimental data
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the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare. We are particularly looking for an IC
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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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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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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