14 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Oxford
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of
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significant contribution to the writing of group-funding applications for new research projects, including sharing responsibility for shaping the Centre’s research programme. • The fellow may be asked to teach
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. This position is structured to prepare the researcher for a faculty career by providing opportunities for interdisciplinary collaboration and high-impact publications in an area of independent research. The post
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Clinical Research Fellow and Honorary NHS Consultant post, funded by the NIHR BRC, to provide high level support for clinical trials in the Inflammation Across Tissues theme. You will combine your clinical
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graduate teaching, supervise postgraduate research, exercise academic leadership, and pursue an active programme of original scholarship within the field. This post is designed to ensure continuity and
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selection criteria. This post represents an excellent career opportunity as the successful applicant will work at a top institution with top scholars, publishing high-quality articles, thus representing
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opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected
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contribute to funding applications, strategic planning for the vaccine programme, and take part in public engagement and training activities. It is essential that you have a primary medical qualification (e.g
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning