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the understanding of how alloy composition influences properties and processability in solute-lean titanium alloys. The research will involve: Alloy production via arc melting, hot rolling, and simulated forging
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create a computational tool based on experimental input, simulated data, and machine learning methodology to extract 3D atomic structure information from 2D identical location STEM images. STEM image data
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simulating fluid networks and dynamic phenomena for assessing different solutions is a necessity The overall aim of this project is to improve the confidence in fuel system design process for ultra-efficient
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titanium alloys. The research will involve: Alloy production via arc melting, hot rolling, and simulated forging trials Microstructural characterisation using electron microscopy (SEM & TEM), X-ray
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: Advancing Neuromorphic Electronics/Computing: Develop advanced neuromorphic architectures that simulate neural and synaptic structures of the brain to improve adaptability and real-time decision-making in
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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Process Shortlisted applicants will be invited to two interviews. The second includes a 15-minute presentation on your motivation to join the CDT and how your background aligns with the programme. Contact
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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numerical simulations, probabilistic techniques, and AI analytics, earthwork prognoses could be expressed in the form of ‘time-to-failure’ and/or ‘probability of survival’ under extreme weather events. Please
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analysed in a standard web browser. HiPIMS computations can be executed on local GPUs or through cloud-based GPU services, empowering users to conduct large-scale fast flood simulations without worrying