25 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" Fellowship research jobs at University of Oxford
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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or biology. In this role, you will work closely with Dr. Lynn and other lab members, employing cutting-edge optical imaging tools and computational analyses to determine how spatial and temporal features
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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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Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Botnar Research
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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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from the research programme. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts
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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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%) 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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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
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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