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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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We are seeking to appoint two Clinical Research Fellows, who will be involved in a major research project in digital health, technological innovation, patient safety or disease mechanisms directed
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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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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
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. Any queries regarding the application process should be directed to Briony Webb at b.webb@imperial.ac.uk . Full information on the post is available in the job description. We are an equal opportunity
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any further details on the role please contact: Jessica Bays: j.bays@ukerc.ac.uk For information on the recruitment process please contact: Maria Monteiro, Senior Appointments Manager, email: m.monteiro