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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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materials, notably wear, fretting, and thermo-mechanical fatigue. Experimental studies to support these modelling activities are also of great interest to the group. Visualisation of multiphase fluids with
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deployment, ensuring that all deliverables meet high standards of performance, scalability, and user experience. This is an exciting, dynamic position offering the chance to engage with cutting-edge
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to an exciting new effort to accelerate and miniaturise micro-elasticity imaging systems for in-vivo and clinical applications. You will be part of a dynamic, interdisciplinary team aiming
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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for independent research into the prevention and treatment of skin disease. You will join a dynamic and friendly team of approximately 20 staff and work with a range of clinical and non-clinical academics
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the School of Medicine. Led by Professors Kim Thomas and Hywel Williams, CEBD has an international reputation for independent research into the prevention and treatment of skin disease. You will join a dynamic
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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research
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Engineering, or related disciplines, preferably a PhD in Mechatronics/Robotics Knowledge of kinematic, static, and dynamic analysis, and control solutions related to continuum robots Strong evidence of