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Establishment). Recent work by the group (leading to REF 4* rated outputs and several Keynotes) has contributed to bridging the gap between Computational Solid and Fluid Dynamics, with a unified computational
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plausible future climate, land use changes and socioeconomic development scenarios e.g. urban planning. The outcome will provide a holistic assessment of flood risk for future strategies and climate
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of fixed bottom deep water wind energy. The role is for the second intake of the EnerHy programme which commences in October 2025. Research project overview: While floating supports remain
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research area, and work alongside your peers for the first 10 weeks of your studies, splitting your time between high-level training and laboratory rotations. You will also take part in a three-month
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research. The network's goal is to advance infection control protocols, improve implant safety and reduce healthcare costs associated with IAIs. The role holder will develop and characterise novel
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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research area, and work alongside your peers for the first 10 weeks of your studies, splitting your time between high-level training and laboratory rotations. You will also take part in a three-month
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for Additive Manufacturing research group (CfAM). The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics
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research group (CfAM) at the University of Nottingham. The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, bio-printing