261 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Oxford
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opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in advanced first principles computational
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Medicine offers a vibrant and dynamic research environment, with state-of-the-art facilities and a multidisciplinary team dedicated to advancing cardiovascular science. This opportunity is particularly
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Assistant to work with Dr İrem Güçeri on a portfolio of projects in Economics and Public Policy. In the first instance, the Research Assistant will support research on: • Tax policy using large
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Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC
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About the role Applications are invited for a Postdoctoral Research Associate in Chemical Biology and Bioengineering to work under the supervision of Professor Yimon Aye for a period of up to 12
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the ESRC project Generations of London English: Dialect and Social Change in Real Time. Project website: https://generationsoflondonenglish.org/ Led by Principal Investigator Professor Devyani Sharma
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About the role The Department of Biology is seeking to recruit a Postdoctoral Research Associate to work under the supervision of Dr Matthew Wijers. The work will be based within the Wildlife
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We are seeking a full-time Postdoctoral Research Assistant in Computational Mechanics to join the Brassart Research Group at the Department of Engineering Science (central Oxford). The post is
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colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications for this vacancy are to be made online. You will be required to upload a
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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