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Project summary: The aim of this PhD is to explore how innovation ecosystems are developed and sustained. The theoretical understanding of how to construct innovation ecosystems remains
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innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI
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other data collection methods Designing, developing and optimising computer aided design components Undertaking advanced FEA mechanical and thermal analysis combined with topological optimisation
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We are looking to recruit an experienced software developer to join the Web Applications Development Team at the University of Aberdeen. The successful candidate will be responsible for designing
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neuromorphic design approach drawing inspiration from how data is processed and represented in the brain and build an efficient hardware architecture based on spiking neural networks (SNNs). The project aims
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and databases, drafting technical/progress reports and papers as appropriate. 5. To work with the Principal Investigator in the planning and design of the research projects, providing specialist
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experiences for students. The successful candidate will have experience working with learners in practice or higher education, designing, and delivering learning opportunities, and have a good understanding of
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. Their design and selection involves a complex mix of considerations including component life under normal running conditions, power losses, vibrations in the machine and the ability to carry exceptional loads
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Ball bearings and roller bearings play crucial roles in most rotating machines. Their design and selection involves a complex mix of considerations including component life under normal running
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of the University’s international profile in line with the University’s Strategic Plan, World Changers Together. Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1 Normally Scottish