17 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at Imperial College London in United Kingdom
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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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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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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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join the Resilient Information Systems Security group, led by Professor Emil Lupu, www.rissgroup.org . The position offers an exciting opportunity to conduct internationally leading and impactful
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Ministries of Health and partner research institutes across 24 countries, to improve understanding of dengue and Zika virus circulation and interaction (https://www.imperial.ac.uk/news/articles/medicine/school
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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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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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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