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diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
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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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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application