24 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" Fellowship positions at University of Oxford
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, MA and PhD level. The department runs two large political science programmes at BA and MA level and a specialized programme in Peace and Conflict Studies at MA level. In addition, the department hosts
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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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recognised authority in dynamic-compression science and high energy density physics. They will be expected to be capable of developing their own programme of independent externally funded research projects
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on the Application Form. Information about Plant Sciences at Oxford can be found at https://www.biology.ox.ac.uk or by contacting the head of the Molecular Plant Sciences Section (lars.ostergaard@biology.ox.ac.uk
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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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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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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all procedures with clinical trial volunteers and you will provide broad clinical support to the HCV CHIM program (working with the project team, including a project manager). Giving clinical input
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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