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Field
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be an integral member of the wearables group based at Oxford, led by Aiden Doherty. Our research team has access to world-leading population health data sets with objective wearable sensor measurements
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tools and available data to analyse the cost-effectiveness of available interventions to reduce infections from a societal perspective. The student will have the freedom to shape the methodological
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these tools within a real-time digital twin framework, steel producers can access rapid, data-driven insights that support optimised process control, reduced reject and downgrade rates, and meaningful
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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for place with the projects across the MRC GW4 BioMed3 Doctoral Landscape Award studentships. There are a total of 18 studentships available across the partnership. This exciting PhD combines big data and
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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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Project Overview Resilient and productive agriculture is reliant on bespoke planning involving data-driven decisions guided by local practice, required practice, local data, such as crop yield, and
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science discipline (or a relevant data science field), have interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with
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international workforce-solutions business operating across recruitment, finance, data, marketing and managed IT services. The successful candidate will also become part of Luton AI, the University