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Field
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Understanding tyre–road surface contact is critical to achieving desired vehicle performance. Friction is a complex property, unique to each system, and challenging to measure and model. To explore
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, public confidence, and safe deployment on public roads. There is a pressing need for interpretable, verifiable methods that bridge the gap between complex autonomous behaviour and established safety and
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then collapses to a hetero-hexameric complex as it encounters MRG15, displacing PALB2 (and other interacting factors/complexes) to form a new MRG15/MRFAP1/nucleosome assembly of unknown function
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topological dynamics. One of the most important classes of operator algebras are C*-algebras, which are operator-norm closed subalgebras of the bounded linear operators on a complex Hilbert space that
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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Project Supervisor - Professor Rudy Lapeer The Birth4Cast “Digital Twin” aims to create a subject-specific computational biomechanics simulator of childbirth from prenatal fetal MRI scans
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*-algebras, which are operator-norm closed subalgebras of the bounded linear operators on a complex Hilbert space that are closed under taking adjoints. This project will focus on C*-algebras arising from
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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Research at the LMB aims to understand the workings of complex systems, such as the immune system and the brain, and use this information to solve key problems in human health and disease