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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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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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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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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
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projects. Key Responsibilities within Imperial The post holders will be required to undertake a leading role in a major research project, as directed by Professor Darzi and a nominated academic supervisor
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Applications are invited for the post of Principal Research Fellow within the Centre for Environmental Policy at Imperial College London. You will lead the development of a high-level analytic and
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This Clinical Research Fellow post supports an exciting, multidisciplinary NIHR-funded translational research project to develop a tool to automatically interpret electroencephalography (EEG) and