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Group have been used to identify complex repetitive genomic alterations in approximately 400 patient samples across 10 distinct cancer types. This PhD project will elucidate the prevalence and functional
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and cell-free biosensors, alongside novel mechanisms for sample processing. These aim to simplify nucleic acid detection and enable passive, self-reporting tests to transform surveillance and response
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quarantine pests/pathogens. You will evaluate technologies such as CRISPR-based systems, strand displacement reactions and cell-free biosensors, alongside novel mechanisms for sample processing. These aim
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from the Newcastle Urban Observatory, public transport ridership data, questionnaires and travel surveys, and the DARe MATSim agent-based modelling suite, this PhD will seek to gain a deeper