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We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by Microsoft
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development and deployment of efficient and safe learning approaches for collaborative multi-agent reinforcement learning tasks. You should have a PhD/DPhil (or be near completion) in machine learning or a
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Council and is fixed-term for one year from a start date in summer or autumn 2024. PNPL is looking for a highly skilled and enthusiastic Postdoctoral Researcher in Large-Scale Machine Learning for Brain
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that undertakes impactful machine learning expertise with world-leading clinicians across Oxford’s Medical Sciences Division. This post is part of collaborations with senior colleagues in the Medical Sciences
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to 2 years in the first instance. You will be responsible for the design and testing of machine-learning based algorithms for HAIC. You will work with clinical domain experts to develop tools and
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relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences
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We are seeking to appoint a Research Associate in AI with a specialism in Deep Learning. The Research Associate will engage in internationally leading research in the development of AI and machine
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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
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understanding of the set-up and “muscle memory”. You will develop scalable and autonomous calibration frameworks to optimise quantum device performance. Machine-learning based algorithms will then make