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on Experimental Study and Computational Solids Mechanics model of soft multifunctional materials such as magneto-active polymers (MAPs), Electro-active polymers (EAPs). The successful candidate will work on the
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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-reviewed journals, commensurate with stage of career Research skills or potential at an international level. Excellent track record of research in active matter or in the direct numerical simulations
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vitro, organoid co-culture models will be developed using primary human epithelial cells. Candidates should have an excellent research track record, be committed to the project and keen to work in a
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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, microwave engineering, mobile communications systems and autonomous systems. Of particular interest to ISSS is the design, modelling, simulation, processing of information from and system integration
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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proposals. Grant reporting, managing and monitoring. Work with researchers, and industry partners to gather data and align simulations with practical needs. Identify gaps in existing bio-process models and
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical models at many scales including electron dynamics, soft-matter physics, materials