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(PPPA) group at the University of Sheffield, in collaboration with other institutions and industrial partners, pursues a wide programme related to these muon applications. This PhD project is
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at the forefront of international research and enabling full exploitation of next-generation observations and Exascale computing. We are seeking a highly motivated Postdoctoral Research Associate to join this
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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programme. This is an exceptional opportunity to gain experience in medical device innovation, translational research, and clinical validation. The ideal candidate will have a background in biomedical or
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Application/interview Good working knowledge of a relevant computer programming language, for example Matlab, Python or C/C++. Essential Application/interview Good working knowledge of software packages
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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. Identify, create and provide a training and development programme tostaff on contracts and contract negotiation. Develop and implement an efficient contracting process, including an appropriate, transparent
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of solid-fuel particles and this increasingly relies on engineering computer modelling. This project aims to develop a deeper understanding into the mechanisms of pulverised solid fuel ignition, and to
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
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programme This University of Sheffield PhD project is part of the EPSRC Centre for Doctoral Training in Sustainable Sound Futures programme. Further details about the CDT and the programme can be found