617 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at University of Sheffield
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Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
: Candidates must have a first or upper second class honours degree or significant research experience. How to apply: Please complete a University Postgraduate Research Application form available here: https
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
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the charging and discharging of the quantum batteries. You will also work with theory colleagues at University of St Andrews to understand quantum battery physics and provide data for theoretical models
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Canada. Please also see our website for more information about our lab: http://www.claudiavonbastian.com Funding Notes Self funded or externally sponsored students only. Intakes are usually October and
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engineering, material engineering or applied physics. The successful candidate will have: -Strong background in solid mechanics and engineering mathematics -Strong interests in computational work and laboratory
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Towards more understanding of the particle dissolution process in the liquid School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Agba Salman Application
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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: 31 January 2026 Details LUX-ZEPLIN (LZ) is a high-sensitivity dark matter experiment based on dual-phase xenon technology. It is currently operating in the deep underground laboratory at SURF (South
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Bacteriophage engineering as a therapeutic strategy to target antibiotic resistant enterococci
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom