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parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Funding Notes Please note that this
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of nonlinear systems. These methods will identify unstable states, design stabilizing or optimal controllers and compute invariant sets. There is scope here to combine traditional model-based methods with new
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to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The green industrial futures
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to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: Both carbon removal
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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Computational imaging: seeing beyond the capabilities of conventional optics
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phase numerical chemical kinetic models which can be incorporated into process system simulation models of the post-combustion capture process such as Aspen. Funding Notes 1st or 2:1 degree in Engineering
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development of protocols for commercial deployment (supported by Detectronic ). There will be significant opportunities for personal development including a residential programme at Ashorne Hill to further
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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Enrico Dall'Ara Application Deadline: 30 May 2025 Details Do you want to make a difference in healthcare by developing state of the art computational models to help managing patients with osteoporosis? Do