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modelling, data analysis and interdisciplinary approaches, our work investigates pathways to improve the resilience, efficiency and long-term sustainability of solar energy deployment. In this role, you will
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photobiomodulation interventions within clinical trials, as well as significant experience working with humanised mouse models in collaboration with the pharmaceutical company AstraZeneca. This is a research-only role
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of the Departments of Biological Sciences, Molecular Sciences, and Earth and Environmental Sciences. The School is the largest in the Faculty of Science and Engineering and is a vibrant community of educators
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field (plant genetics / genomics, molecular biology / genomics, agricultural science) experience in recombinant DNA technologies (e.g. primer design, cloning etc) knowledge and experience in
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modelling. About the opportunity Contribute to cutting-edge research in marine ecology, with a focus on temperate reef systems and climate-driven ecosystem change. Deliver high-impact research outputs
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histology, spatial organisation and molecular information to improve diagnostic and prognostic assessment of kidney function. The successful applicant will work with an interdisciplinary team across
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career as a mentee and a mentor, and to expand your research network when liaising with collaborative research partners. Your key responsibilities will be to: develop advanced modelling, novel material
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to collaborate closely with academics within the university and with our industry partners. In this role you will: Design, build and flight-test several (scaled) models of the medical delivery drone(s) De-risk the
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, addressing practical challenges in flow distribution, heat and mass transfer, sealing, reproducibility and stable operation. Translate device concepts into CAD models and engineering drawings, and coordinate
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, metallisation, interconnection, characterisation, and related manufacturing processes. Research activities may include process development, device analysis, simulation and modelling, and technoeconomic assessment