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Field
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staff and the adults with learning disabilities that they support. The post requires experience of conducting recruitment and data collection in large studies and previous experience of working with
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simulation of the integrated optimisation of Vehicle-to-Grid (V2G) energy flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute
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contributing technical expertise in data acquisition, analysis, and pipeline development, ensuring methodological rigor and timely delivery of research outputs. The ideal candidate will have experience with EEG
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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include undertaking research, as appropriate, to support the project including contributing to the delivery and analysis of a large-scale questionnaire survey, conducting qualitative research interviews
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The post is to contribute towards the creation of an outward facing web user interface, for non-specialists to access census data dating back to 1971, for both common geographies and also bespoke
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T