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allowed computational fluid dynamics (CFD) to flourish, becoming an indispensable for many industries. Simulating the full Navier-Stokes equations is computationally prohibitive for most applications, so
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at the molecular scale, even breaking covalent bonds. Indeed, mechanical force is a formidable source of energy that, with its ability to distort, bend and stretch chemical bonds, is unique in its ability to promote
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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receive training in organic synthesis, chemoenzymatic synthesis and molecular biology, all geared towards the design and development of in vitro translation of non-canonical amino acids. Transferable skills
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in synthetic organic chemistry are particularly encouraged to apply. Any experience in biochemistry will be beneficial, however full training will be provided for the necessary molecular biology and
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the chronic low-grade inflammation seen in aged tissue (inflammaging), and evaluate biological responses using histology, cytokine profiling, and molecular assays. Beyond maxillofacial prosthetics
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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to specified rules. A striking fact is that these systems can share common behaviour even when the local rules governing their dynamics are significantly different. This is an example of universality
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models