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The probabilistic method is a powerful tool which has been especially influential in the fields of combinatorics and computer science. In the context of combinatorics, this method was pioneered by
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computer science, mathematics, or related disciplines. The position will be fully funded, and the successful applicant will receive an annual stipend in line with current Research Councils UK rates for 3.5 years
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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multi-disciplinary team Strong communication skills, both written and verbal Qualifications PhD Awarded (for the position as Research Associate) in Mathematics or Statistics or Computer Science
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programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
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of Physics, University of Oxford. The research will focus primarily on the development of 2D spin computing devices. All applications must be made through the central University of Oxford graduate admissions
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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The context Are you considering pursuing a PhD in Engineering and Mathematics to help create a better world? Look no further than Edinburgh Napier University. Ranked as the top modern university
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the execution of the project. The candidate(s) will undertake original research in AI-driven Financial Computing, within the School of Informatics in collaboration with School of Mathematics and the Centre
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/Overseas applicants . This project would potentially suit candidates from backgrounds in Structural and Mechanical Engineering, Engineering Mathematics, Applied Mathematics and Physics. We are interested