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simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state-of-the-art simulation algorithms to circumvent
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Banerjea (Archaeology),Dr Alice Mauchline (School of Agriculture, Policy and Development), Professor Aleks Pluskowski (Archaeology) Project Overview: This PhD project will be conducted within the scope
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organoids. The insights generated will speed up drug design and development and push forward our understanding of human health and disease. As a Franklin PhD student you will: Work on highly interdisciplinary
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, crucially this PhD project will benefit from samples which will be supplied from both Cornish Lithium (1km borehole depth) and GEL (5km borehole depth), the latter being UK’s deepest onshore borehole
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Museums and Inclusive Heritage Preservation Platform Labour, Creator Economies, and Algorithmic Change AI in the Creative Industries (cross-faculty potential) Independent Cinema Exhibition and UK Screen
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Application deadline: All year round Research theme: Numerical Analysis This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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The project: This PhD studentship is an exciting opportunity to work at the intersection of composites structures and composites manufacturing with a particular focus on sustainability. The PhD
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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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