488 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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activities, as required. This is a 12-month fixed-term contract at 0.8 FTE. Informal enquiries can be made to Dr Emma Kaminskiy, Associate Professor, at emma.kaminskiy@aru.ac.uk . We have an agile working
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science, with ambition to apply their own ideas, perspectives, and their personal skillset to the discovery and development of new 3D nanoscale magnetic metamaterials. We’d like you to be part of the team
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in glaciology, environmental science, computer science, data science, or related discipline that is relevant to the role. The post is available from February 2026 and is fixed term for 24 months
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other benefits, including salary sacrifice schemes and campus nursery . Additional Information: If you would like to find out more or are interested in applying, please email Professor Andy Daly-Smith
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LOCATION: The Middle East Studies (MES) Programme at Oxford School of Global and Area Studies (OSGA), 12 Bevington Road, OX2 6LH About the Role: The Oxford School of Global and Area Studies (OSGA
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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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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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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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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind