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Sciences. This is a unique opportunity for an individual with a keen interest in growing their research programme in one of the most inclusive universities in the UK. About You The successful candidate will
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Academy Science-Policy Platform. The post-holder will develop a good understanding of the funder terms and conditions for the programme providing sound advice and ensuring compliance to these and the school
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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science projects aligned with the university’s strategic and operational goals Take ownership of data analysis workflows including data extraction, preparation, modelling, and reporting Promote data
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About the Role As a Lecturer on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life of the faculty
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behaviour, and computational modelling. collaborating with other lab members and external collaborators and (b) support the PI with particular non-scientific tasks related to the project, including ordering
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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Health Records Research (EHR) Group for an experienced epidemiologist/statistician to join an NIHR-funded programme of research (The INTEGRATE programme) in collaboration with the National Institute
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View All Vacancies Student Administration - School of Life Science and the Environment Location Egham Salary £26,471 to £28,693 per annum pro rata - including London Allowance Post Type Part Time