964 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST" positions at University of Oxford
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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About the role We have an exciting opportunity to join the Wood Lab in the Department of Paediatrics as our Postdoctoral Researcher This role is part of a larger interdisciplinary program focused
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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research areas of the Centre, broadly construed. To that end, they will have access to substantial travel and research funds and participate fully in the Centre’s vibrant programme of visitors and seminars
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work effectively. Being enrolled in a PhD programme is preferred but not essential. Excellent communication, organisational, and IT skills are essential, along with the ability to work independently and
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energetic Programme Manager to join us on a permanent basis and help drive this change. At Oxford, you’ll be part of a vibrant, interdisciplinary community where your work contributes to real-world solutions