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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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We are seeking a full-time Postdoctoral Research Assistant to join the Foerster Lab for AI Research at the Department of Engineering Science, University of Oxford. The post is fixed term
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
The role Reporting to the Principal Investigator, Dr. Jesús Aguirre Gutiérrez, the post holder is a member of the research group BioEO: Biodiversity and Earth Observation within the Environmental
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need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict
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. The post holder will be a member of a research group with responsibility for carrying out research for NERC grant ‘Cruising the whale superhighway: The evolution, biomechanics, and ecological drivers
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of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria. This post is full time (although applications to work part time are
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, according to the selection criteria. This post is full- time and available immediately for 18 months. The closing date for applications is 12.00 noon on Monday 1 September 2025, interviews are likely to be
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(approximately 3–6 months) based at the CMB in France, before continuing the remainder of the role in Oxford. This full-time fixed-term post is funded for up to 3 years in the first instance. The postholder will
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Summerfield. The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with a particular focus on studying how humans and AI systems can