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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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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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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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processing, machine learning, neurophysiology, and human-centred design. You will be central to the execution and data collection of a major prospective research study in hospitalised patients. As a Clinical
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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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for Clinical Application of Particles and the Centre for High-Throughout Digital Electronics and Machine Learning - we demonstrate a commitment to interdisciplinary collaboration. Visit our webpages for more
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-Throughout Digital Electronics and Machine Learning - we demonstrate a strong commitment to interdisciplinary collaboration. Visit our webpages for more information about the Department of Physics and the