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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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of statistical algorithms. Duties include undertaking your own programme of research and assisting with ongoing research programmes, using databases, modelling, and computation as appropriate; writing up results
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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) Application Deadline 12 Mar 2026 - 09:44 (UTC) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Deadline 30 Apr 2026 - 17:00 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Martin AI Governance Initiative (AIGI Oxford) seeks to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences
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15 Mar 2026 - 00:00 (UTC) Country Ireland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Full-time: 35 hours per week Fixed-term: 24-month contract The opportunity: Interdisciplinary science is at the forefront of designing solutions to building resilience to climate change. Join an interdisciplinary team using cutting-edge approaches to explore the design and development of climate...
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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning