16 condition-monitoring-machine-learning Fellowship positions at University of Oxford in Uk
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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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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skills, including the ability to write articles that can be published, present data at conferences, and represent the research group at meetings Possess the ability to quickly learn new skills and to work
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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