16 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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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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include: (1) creation of real-time indicators of digital connectivity by gender at granular spatial resolution using social media, population and survey datasets, and statistical and machine learning
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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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contributory pension scheme • 38 days annual leave • A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance
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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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record of publications • Experience in liver transplant surgery and liver normothermic machine perfusion • Experience in intensive care medicine Application Process If you would like to discuss
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the College’s research programme, as well as being able to teach high-achieving graduate students. Additionally, they will possess excellent oral and written communication and interpersonal skills and