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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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Department of Physics Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across the Department of Physics. Eligibility: PGR applicants in the Department
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of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name of the supervisor: Neil Sandham Applications
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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications
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interacting QFTs, where non-perturbative features become important. In this project, the student will apply techniques from mathematical physics, such as generalized symmetries and topologically invariant QFTs
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successful candidates of the Expression of Interest process - this is not a guarantee of funding, but an opportunity to be put forward for the application process for SWDTP funding. For further information
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PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Prof Pieter Kok Application Deadline: 15
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Project Outline Skeletal muscle undergoes progressive loss of mass and function during ageing, a process termed sarcopenia. This decline arises from reduced myogenesis and degeneration of existing
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in physics, chemistry, or similar. The ideal candidate will have: A strong background in statistical mechanics. Familiarity with quantum mechanics and condensed matter physics. A keen interest in high
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computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use