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award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage , 2026–2031) and a QuantERA grant (Quantum Network Algorithms , 2026–2029); in the QuantERA
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new technologies for genetic privacy, a problem requiring molecular and computational systems to be designed together rather than sequentially. The postholder will join an active team developing
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, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as well as proven competence in
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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect
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; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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Kapetanovic’s research programmes are the: Discovery and development of new genetic therapies for retinal diseases. Investigation of innovative ocular surgical techniques including robotic eye surgery. Testing
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) until 31 March 2027 (with the possibility of an extension). The appointed candidate will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimisation
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large-scale genomic, phenotypic, environmental, and field trial datasets, you will benchmark AI and quantitative genetics methods, develop multimodal and hybrid modelling frameworks, and investigate
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks