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with large-scale biodiversity and environmental parameter samples. You will also produce educational training materials on the studies you conduct and publish in high-impact journals. You will develop
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around the scope for large natural language models to be used to predict community level outcomes and the role of community connectedness Supporting CRESR’s delivery of research contracts by providing data
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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An exciting opportunity is available for a talented researcher to join the large and successful School of Health Sciences at the University of Southampton. You will join a multidisciplinary team who
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and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
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Charter Gold Award. About the role The appointee will participate in a large, multi-institutional and multidisciplinary project part of the The Severe Presentation of Infectious Disease (SPID) Genomic
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factors underlying this condition. The project will involve analyzing genetic data from a large cohort of sudden death victims and conducting prospective family screening to identify family members at risk
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interactions across a range of physical platforms to build large-scale, hybrid quantum networks. Our work spans rare-earth-ion-doped solids, alkali vapours, quantum dots, and nonlinear photonic media, aiming
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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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. The postholder will work alongside a lived experience researcher and liaise closely with routine care psychological practitioners to facilitate recruitment, data collection, and for provision of technical support