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, utilising high-performance computing (HPC) servers and data from large-scale facilities such as Diamond Light Source and ISIS Neutron and Muon Source. For informal enquiries please contact Dr Jay Warnett
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ontologies, and domain-specific language models, among many other methods and models. You will engage with large-scale longitudinal health data, develop and validate computational models, and contribute
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. The Data Spaces group research techniques for intelligentinformation systems, including large-scale decentralised architectures, open data infrastructure, data semantics (representation, storage, and
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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data-driven diagnostics. About the project Cancer treatment often involves surgery, chemotherapy, and radiotherapy. While these treatments have improved outcomes, they can be long-lasting and cause
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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. While grid-forming (GFM) wind turbine generators contribute to voltage and frequency regulation, they may exhibit significant nonlinear large-signal behavior during disturbances, including current
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skills Biomedical Data Science UG degree: List A List B Introduction to Medical Ethics Python language programming Probability theory, statistics and Bayesian analysis Artificial intelligence in Medicine
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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning