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and more efficient care. The student will have access to a unique training programme in AI in healthcare and health data science as well as a wide range opportunities for developing skills in a rapidly
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project focuses on environmental sustainability in grain storage, developing telemetric robotic sensing and predictive modelling to control mycotoxin (Ochratoxin A) risk while reducing postharvest drying
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and the development and spread of antimicrobial resistance. By influencing the microbiome and resistome, we aim to promote positive health effects and limit the spread of antimicrobial resistance
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. The project will build on existing processes for battery recycling and iterate on these to develop protocols specific to PV modules. Both end-of-life and state-of-the-art modules will be considered, to ensure
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concrete structures, and the planned research includes both property development (behaviour) of early age concrete, as well as the investigation and further development of calculation methods in order to
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that can support the development and implementation of robots that meaningfully support everyday work in healthcare. The successful candidate will conduct empirical research and collect data through
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-class materials development facilities; engage with leading international and academic project collaborators: Prof. Daniel Kelly at TCD, Assoc. Prof. Niels Holten-Andersen at Lehigh University, and Dr
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listening effort, and developing systems capable of identifying and prioritizing the user’s intended sound sources. Overall, the PhD works contribute to the development of intelligent, user-aware hearing
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This full time role is available immediately, on a fixed-term basis for 12 months. The University of Exeter Business School has developed a suite of Degree Apprenticeship programmes designed in
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motivated students, and EPR/MOF experts. As part of the project, the student will receive training in EPR, NMR, XRD, XPS, TEM. The PhD programme incorporates strong career development elements enabling