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knowledge graph from scientific papers and cognitive test questionnaire data, and second, to integrate the graph with transformer-based large language models and causal learning. This offers an explainable
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. The successful applicant will work with experts in diabetes, data science, and genetics, and use detailed existing studies of hundreds of thousands of people with diabetes, to understand what is causing apparent
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide
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-sample guarantees. Quantum statistical modeling: use of quantum relative entropy, Fisher information, and variational quantum circuits for practical implementations. Causal and information-theoretic
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health. Women within the justice system experience poor diets alongside significant brain health needs, yet remain hard to reach with nutrition and health information. This PhD tackles that translation gap
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equations; - excellent programming skills; - excellent communication skills (oral and written). Informal inquiries should be directed to Dr Jörg Nick, e-mail: [email protected] Funding notes: Funding may be
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Formation History Apply hierarchical XID+ methods to JWST and Herschel survey data to derive far-infrared luminosity functions and measure the evolution of star formation across cosmic time. Separating AGN
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along a wall.” Phys. Rev. Fluids. Michelin 2023. “Self-propulsion of chemically active droplets.” Ann. Rev. Fluid Mech. Additional Funding Information The scholarship covers tuition fees, training support
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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Supervisor: Prof Masashi Narita Course start date: 1st October 2027 Project details For further information about the research group, including their most recent publications, please visit