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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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About the role We are recruiting a Postdoctoral Research Scientist to lead virus evolution and bioinformatic data analysis for our program on wastewater surveillance for pandemic pathogens
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, and Prof James Chalmers at the University of Dundee. You will be sited within the vibrant research environment of the School of Biosciences but will work closely with the collaborative network
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research project, Understanding health and well-being among farm women: A life-course approach, which is jointly led by the CRPR and the Farming Community Network (FCN). Through a combination of quantitative
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
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training Collaborate with space technology researchers on system integration and testing Your network and team You will work in the Integrated Photonics research group and collaborate closely with Aalto's
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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computational design for climate-adaptive urbanism. Your network and team You will work closely with Professor Dr. Pia Fricker (https://research.aalto.fi/en/persons/prof-dr-pia-fricker ), whose professorship in