15 condition-monitoring-machine-learning Fellowship positions at University of Oxford
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. The Department seeks candidates with interests in Statistical research at the interface of machine learning and AI. They will have the skills and enthusiasm to lecture graduate level, over a wide range of topics
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postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
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analysis, and may contribute to scientific publications. The CRF will work closely with the broader multidisciplinary team, including postdoctoral researchers in biomedical engineering and computer vision
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monitoring and evaluating trial participants under the supervision of senior colleagues and working within your scope of clinical competence. Full training will be provided to ensure you have the necessary
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thesis by 31 August 2025), and demonstrate an ability to teach high-achieving students on a broad range of topics. Good team-working and organisational skills are essential, as are excellent
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interacting with volunteers and patients in a research study, clinical research co-ordinators, team members, laboratory and administrative staff, monitors, collaborating company representatives, and the broader
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represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and proactively to problem solve Application Process To apply, please upload: A covering
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at meetings. Possess the ability to quickly learn new skills and to work independently and proactively to problem solve Application Process To apply, please upload: A covering letter/supporting statement Your
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thesis by 31 August 2025), and demonstrate an ability to teach high-achieving students on a broad range of topics. Good team-working and organisational skills are essential, as are excellent
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be expected to give high-quality tutorials, classes, lectures, and supervision in History at both undergraduate and graduate level and contribute to, develop and enhance the learning and teaching in