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of solving such systems are immense: slow or unstable convergence, lack of robustness, and scalability bottlenecks on modern parallel architectures. As a PhD researcher, you will be at the frontier of tackling
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these methods to quantify phase transformation, plasticity, damage, fracture, and particle volume/sizes for the parameters space that is relevant for wafer handling. Map out the different regimes of silicon
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of Architecture and the Built Environment), where you will collaborate closely with a parallel PhD project within the Faculty of Aerospace Engineering focused on meshfree numerical methods. Together, you will work
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materials with engineered catalytic sites, as part of the HyCARB project. The successful candidate will join a dynamic research team with access to facilities for materials synthesis and parallel catalytic
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. Dr. Tiziano De Matteis (who will be co-supervisor), is an Assistant Professor in the group. His interests are on Parallel and Distributed Computing with a focus on systems and programming models
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arms race in which plants produce toxic defence compounds and insect herbivores in turn evolved specific detoxification mechanisms. In parallel to these feeding adaptations, insects also evolved specific
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will join a dynamic research team with access to facilities for materials synthesis and parallel catalytic reactor testing. This position offers extensive training in sustainable chemistry and
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the modelling project and a parallel experimental project, focused on measuring particle generation in silicon wafers is therefore essential. Section Mechanics of Materials You will work in the section
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of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination with high-performance computing (HPC), parallel
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with high-performance computing (HPC), parallel computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks