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multidisciplinary research group comprises basic researchers, gastroenterologists, surgeons, oncologists, and bioinformaticians, undertaking several collaborative projects involving large international consortia
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field. Have proven expertise in statistical modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in
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) using syndemic and precision public health approaches. This project will use data from the BC Hepatitis Testers Cohort (BC-HTC) and IDEALs Cohorts- longitudinal cohorts of ~2.5 million people tested
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Nurses. You will work collaboratively with our patient and public involvement group to develop research questions, undertake literature reviews, and lead data collection and analysis. You will also support
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digital twins. You will play a key role in translating research findings into practical guidance which informs the large-scale new build housing programmes in the region, and help housing associations cost
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transforming chemical risk management for Indigenous community-based practice, university labs and classes, regulatory practices, and policy development. This large, interinstitutional research project brings
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realist methodology experience and excellent project management and organisational skills. They will be responsible for primary and secondary data collection and ensuring the smooth running of this large
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competence in developing and applying artificial intelligence methods, including practical programming skills. Publications in top-tier journals such as Big Data & Society, Science, Technology & Human Values
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realist methodology experience and excellent project management and organisational skills. They will be responsible for primary and secondary data collection and ensuring the smooth running of this large
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to management of these side-effects, rigorously testing the new approach in a randomised clinical trial, with hope to roll out nationally. You will play a key role in a large mixed methods project as a