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Field
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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industry-standard electromagnetic simulation software. Develop additively manufactured and 4D-printed antenna prototypes, including the preparation and optimisation of fabrication processes. Conduct
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reactions, catalyst surfaces and interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software
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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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at least one of the following areas: sensor-based field or laboratory data collection, driving or traffic simulation, behavior-informed digital twins, machine or deep learning, or computer vision Excellent
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research in computational cardiovascular modelling for patient-specific digital twins, with an initial focus on blood-flow simulation and transcatheter aortic valve replacement (TAVR). The postholder will
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of
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engineering, process engineering or a closely related field, demonstrated through publications. Experience of mass balances, flow simulation or separation and recovery techniques (e.g. distillation, membranes