241 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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This studentship is open to UK students only The School of Chemistry at the University of Nottingham welcomes PhD applications in Theoretical and Computational Chemistry. The studentship is fully
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the chance to contribute to innovative materials science with real engineering impact for net-zero technologies. Aim This PhD aims to develop a new class of thin-film high-performance ceramic insulation
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This post is associated with ongoing research in the development and control of power electronic converters. Good communication skills are essential since the successful candidate will work closely with other colleagues and industrial partners. Based in Nottingham full time in office/lab. Start...
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spray drying are typically reliant on trial-and-error workflows, a narrow selection of polymers, and analytical methods that are unsuitable for early-stage screening due to high material demands. Moreover
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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priorities, particularly Advanced Materials, Quantum and Emergent Phenomena, and Digital Futures. It addresses the discovery and control of novel material functionalities, supports high-risk and high-reward