24 parallel-computing-numerical-methods-"Prof" PhD positions at The University of Manchester
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the supervisors: Prof Barnes - mike.barnes@manchester.ac.uk and Dr Mahdieh Sadabadi - mahdieh.sadabadi@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant
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the supervisors: Prof Gavin Miller - gavin.miller@manchester.ac.uk andDr Richard Obexer - richard.obexer@manchester.ac.uk . Please include details of your current level of study, academic background and any
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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
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conditions are urgently needed for hydrogen gas turbines. In parallel, the gas turbine industry is increasingly adopting additive manufacturing (AM) to produce complex and lightweight components. Many
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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efficiently and sustainably. The research adopts a mixed methods approach incorporating an experimental product engineering approach and user-centred qualitative inquiry. The expected outcome of this research
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and signal processing methods using machine learning techniques to enhance the resilience, efficiency, and security of cell-free massive MIMO systems, which are expected to play a key role in next
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factorisation and discrete logarithm computation are hard. It is proven that large scale quantum computers, if they were built, would solve these hard problems efficiently, hence rendering today's cryptography
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wide range of sectors, offering solutions not possible by conventional manufacturing methods. However, there are significant challenges to a broad proof of concept that would be addressed in this PhD
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This 3.5-year PhD studentship is open to Home (UK) and overseas students. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. The start...