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discipline. Strong skills in data integration, statistical modelling, and/or machine learning. Experience working with health, genomic, or environmental datasets. Ability to work collaboratively in
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to co-develop tools that are embedded into routine health systems and data dashboards used to guide policy decisions. This role sits at the intersection of generative machine learning, statistical
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Goldberg and will contribute to an ongoing EPSRC-funded project titled Optimisation for Game Theory and Machine Learning. The research associate will be based at Oxford and will work with Prof. Goldberg and
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machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the Northeast
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's proprietary data evaluation
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Join our dynamic, multidisciplinary team as a Research Associate and make a transformative impact in scientific machine learning and digital twins for healthcare innovation! This role focuses