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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
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resources, including the "Cosmology Machine", some of which is part of the DiRAC national supercomputing facility. Further information may be found at http://www.astro.dur.ac.uk . For all posts, salaries
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Location: London, London W1S 4BS, United Kingdom of Great Britain and Northern Ireland [map ] Subject Areas: AI/Machine Learning Information Theory Statistical Physics Theoretical Physics Mathematical
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are essential. In addition to applicants furthering the Department's current areas of specialisation, we welcome those with complementary expertise, notably in continuous optimisation and/or machine learning
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research experience in using mathematical machine learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas
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, Mairi Sakellariadou, Sarben Sarkar and Tevong You, as well as postdocs and PhD students. Although STFC funding decisions are still not finalised, we hope to have funding confirmation in time to make
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, interviews and co-design sessions, while coordinating with research staff from Assam University to support data collection and fieldwork. You will be engaged across the full lifecycle of the project, from
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foundations and gravity. The position is aimed at candidates working in String Theory and Quantum Field Theory, broadly interpreted. You should hold a PhD (or equivalent) in Theoretical Physics or a closely
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. Candidate Candidates should have the potential to become outstanding theorists of global standing. They will have completed their PhD in theoretical physics in the last several years, or be in the final year
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5 Feb 2026 Job Information Organisation/Company International University of Travnik Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 7 Feb 2026