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, refreshing the computers and monitors, as well as building new and dismantling old clusters. To provide such a comprehensive service to the University, we will need End-User Compute Technicians who are able
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the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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this role, you will work as part of the world-class team of researchers and software developers within the PSS team to develop all or some of firmware, software and algorithms for pulsar and fast transient
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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such as quantisation and sampling are often ignored during the verification of AI models. Yet, they are pervasive phenomena in any engineering application where digital compute platforms interact with
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child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
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of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our
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Applicants are invited for the above vacancy in the Division of Informatics, Imaging and Data Sciences, University of Manchester. You will join the Division and take responsibility for an area of
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of Excellence (Genetics & Genomics; Epidemiology) and the RMD arm of the NIHR Manchester Biomedical Research Centre (MBRC).This post is funded by the MBRC to assist coordination of studies investigating