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manufacture of demonstrator structures Overall, the PhD student will have the ability to develop advanced skills at the intersection of structural mechanics, manufacturing process dynamics, and uncertainty
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projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily
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for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks for CI, HTI, and urban environments. The network
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of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks
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images (e.g., pathology, MRI, CT, and RGB) and molecular profiles. Conduct hypothesis-driven research to link molecular profiles to disease biology. Focus on generating and validating diagnostic tools
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natural settings to study insect flight and swarming dynamics across species. This will involve identifying swarming sites, collecting and identifying specimens, and analysing 3D flight trajectories in
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on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied to understand these dynamics. This project proposes a novel pipeline of ideas
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them
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dynamic interdisciplinary research institute that brings together chemistry and physics to unravel the mysteries of atomic, molecular and solid-state environments. The institute strives to make a positive
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations