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will be expected to engage deeply with the interdisciplinary domains of LLMs, software engineering, and performance optimization, to advance the next frontier of cutting-edge AI in system software
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
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a principled, scalable methodology for deploying Formal Methods in practical software engineering contexts, helping organizations make informed decisions about where and how to apply formal
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-class honours degree or equivalent) in materials science, manufacturing, mechanical engineering, metallurgy, physics, chemistry, or related fields. Ideal candidates will be self-driven, eager to learn CFD
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a thorough knowledge of mechatronics engineering for electric vehicle systems and to have a working knowledge of a range of topics within the sphere of their chosen discipline. They will also be
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and upper stage launch systems. Simulation and test campaigns can be significantly costly in both time and cost having significant implications to technology hardware development. A software that allows
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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engineering and can demonstrate through other projects or experiences knowledge across the disciplines of electronics, software development and/or RF communication. An interest in rocketry and/or prior
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical