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Field
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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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are these impacted by different land use scenarios? How can we use machine learning to predict soil microbiomes from either pristine or agriculturally used soils, predict their functional capacity (e.g. carbon storage
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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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opportunity to gain experience towards achieving research independence. About you The ideal candidate will hold a PhD in experimental (quantum) physics or a closely allied discipline. Possess strong skills in
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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
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PhD in a relevant subject (health, public health or other scientific, psychological or sociological subject), or be near completion and have have a research background in relevant area (e.g. social
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of security, war and violence that exceed conventional disciplinary orientations in IR. Critically analysing the transformation of international politics through AI, Machine Learning, algorithmic governance
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slavery manifested in war? How can diverse datasets be synthesised and analysed to research and address slavery in war? By working across the Centre’s datasets and using data analytics and machine learning
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an outstanding international reputation and a community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian