184 proof-checking-postdoc-computer-science-logic Postdoctoral research jobs at University of Oxford
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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180266 – Postdoctoral Research Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 7: Salary in the range of £38,674-£39,749 per annum This is a
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, including projects that could support future fellowship or independent position applications. Applicants should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular biology, structural
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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group, including postdocs, research assistants, technicians, and PhD and Masters project students if required. The post holder will develop quantum diamond microscopy (QDM) as a new paleomagnetic tool
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work