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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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the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPED-2025-14. The supporting statement section should set out how your qualifications, experience and training meet each
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employment initiatives for people who experience complex barriers to employment’. This project will build a partnership to help us understand how to support people who experience complex barriers to employment
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systems for diagnosis and assessment of infant brain pathology. The job will involve designing, building, and evaluating a new kind of optical imaging system for assessing a variety of newborn infant in a
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conferences. If you have are excited about Computational Fluid-Structure Interaction and have the relevant skills and expertise to make a positive impact on our project, then we would love to hear from you
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capture, emphasis on skill-building – we talk about building technology to help people get off technology. Our lab operates within the School of Electronics and Computer Science, with strong
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to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as