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the Built Environment (SEBE) and Energy Systems and Data Analysis (ESDA). This role provides the opportunity to develop teaching and leadership experience, supported by colleagues on both programmes
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successful and happy at UCL through sharing expectations around how we work – please visit www.ucl.ac.uk/ways-of-working to find out more. Further information about working at UCL, including our values
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to interpret genetic data is desirable, as is, knowledge of protocols for human tissue analysis by long read DNA analysis and RNA transcriptome analysis. This role meets the eligibility requirements for a
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-data analysis to shed new light on the biological mechanisms that drive diseases like Alzheimer’s disease and other causes of dementia: when and where it starts; how it spreads over the brain
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biopharmaceutical formulations. The postholder will lead on technical development of optical systems, asso ciated data analysis, and integration into high-throughput experimental workflows to accelerate process
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Investigator (PI) to develop the research design, data collection, data analysis, and dissemination and publication of the project’s research. The two Fellows will each be focused on distinct parts
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responsible for programme management, overseeing project delivery. Third they will contribute to the data collection, analysis and dissemination of mixed methods research activities within the study. Starting
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applicant should have a proven track record of publications, have previous experience with genomics data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and will
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data Assisting with laboratory duties, including supporting other early career researchers Keeping accurate and reproducible records of experiments Presenting at laboratory meetings and/or interest
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of the shipping system, shipping big data, and social science analysis of the policy and commercial structure of the shipping system. The research group’s multi-disciplinary work is underpinned by