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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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with aphasia”. Further details will be confirmed at the interview stage. To apply and for more information about the post please use the links below. City St George’s offers a sector-leading salary
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this link. About the John Innes Centre: The John Innes Centre is an independent, international centre of excellence in plant and microbial sciences. We nurture a creative, curiosity-led approach to answering
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own areas of expertise and interests. You will work on a project funded by the University of Leeds that will utilise a broad range of student education data to understand the relationship between
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sets Apply and, where necessary, further develop, novel machine learning methods utilising cutting edge supervised and unsupervised strategies for interpreting the data and linking to IBD diagnosis in
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
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you to further develop your own areas of expertise and interests. You will work on a project funded by the University of Leeds that will utilise a broad range of student education data to understand