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Datta and Dr Amrita Kulka in the successful execution of their Nuffield-Foundation-funded Big Data project “Towards housing affordability: local supply drivers and optimal policy” (project page here ). In
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applications. This will include applying expertise in inorganic polymerisation catalysis and organic functional group chemistry, analysing experimental data, and working closely with project partners. The role
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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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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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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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quantitative data, and refining working hypotheses where appropriate. You will carry out collaborative projects with colleagues in partner institutions, contribute ideas for new research projects and research
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Specification for full details of this role. Further information For further information please contact Hugo Lambert, e-mail f.h.lambert@exeter.ac.uk or telephone (01392) 724020.
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. The role includes conducting original research within the context of the group, analysing complex qualitative and quantitative data, and refining working hypotheses where appropriate. You will carry out