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specifically in Business Analytics & Decision Sciences, and candidates must be able to teach in one or more of the following: core analytics (machine learning, statistics, optimisation, decision analysis
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focus on digital manufacturing, artificial intelligence and machine learning. You will join a dynamic research environment at an exciting time to further develop the Department’s research profile. You
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discoveries. Manchester’s industrial and cultural heritage is mirrored by the achievements of some of the University’s most celebrated names. The computer revolution started here in June 1948 when a machine
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cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE’s
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an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue
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. Lead the University into the AI Future Whether it’s the way we work, learn, discover or make decisions, artificial Intelligence is changing society. At the University of Manchester, we’re positively
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the centre. Successful applicants will have (or be about to obtain) a PhD in computational biology or computer science, with knowledge of multimodal spatial omics data integration and machine learning
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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. Lead the University into the AI Future Whether it’s the way we work, learn, discover or make decisions, Artificial Intelligence is changing society. At the University of Manchester, we’re positively
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. We plan to use machine-learning to identify markers of listening intentions from data collected via sound recordings, photographs, ecological momentary assessments (EMA), and passively monitored