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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
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planned acts, such as targeted terrorist activities. This exciting project will focus on developing a mathematical model (and a supporting research software) to predict the key performance indicators of a
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* Theoretical foundations of machine learning The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and
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background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary
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programme with integrated study offers comprehensive, interdisciplinary training that bridges computer science, mathematics, physics, and engineering. It equips students to tackle complex quantum challenges
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related discipline. This project would suit a candidate with a background in mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal
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/achieve a minimum of a merit at master’s degree level (or international equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered
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Two PhD positions, funded by the UK Royal Society, are available at the MIND Research Group for the academic year starting in October 2026. The group is based in the Clarendon Laboratory, Department of Physics, University of Oxford. The research will focus primarily on the development of 2D spin...
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD candidate to join the UKRI Future Leaders Fellowship (FLF) research project of Dr. Zsuzsanna Koczor-Benda...
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Computer Science, Mathematics, or related areas. • Strong background in at least one of the following: formal methods, SMT solving, abstract interpretation, or model checking. • Experience with verification tools