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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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approaches for designing new supramolecular materials. Using, for example, a mixture of classical and quantum mechanics simulations, cheminformatics and coarse-grained simulations, we will uncover the design
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be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to conduct direct numerical simulations of turbulent flows over rough surfaces under non-equilibrium
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change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex
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that provides timely and effective support to real-life policy processes. The successful candidate will become part of an interdisciplinary team and support the development of data and model assets which are used
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, will be trained on simulation data to create dynamic, adaptive control systems that optimise operation in real-time across multiple variables. This research will deliver a validated roadmap to 60
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, antennas, and electromagnetic metasurfaces. The computer-aided simulation of electromagnetic fields is critical in the design of most computing and communications devices, such as high-speed interconnects in
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engines). VRIVEN develops concepts for next-generation methanol-fuelled ships whereas HySOME investigates hydrogen-fuelled ship operation. Both projects employ simulation tools to derive insights
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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their properties, as well as develop ways to manipulate and advance the nano-assembly processes. You would also be involved in scale-up on roll-to-roll pre-pilot kit, to explore applications for these advanced