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. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and
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. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional
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3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
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treatment that safeguards microbiological quality and boosts resilience to climate uncertainty. This three-year PhD will deliver the first full-scale evaluation of robotic maintenance for slow-sand filters
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for PFAS removal using rapid small-scale column testing (RSSCT). Evaluate the influence of contact time, media type, and multi-stage configurations on treatment efficacy. Characterise the scientific
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multi-scale shape changes, applicable to biomedical, micromechanical, or optoelectronic applications. Advantages: This studentship will take place in world-leading research laboratories for additive