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for the design and development of peptide-based nanocarriers for the controlled and targeted delivery on anti-inflammatory and anti-bacterial therapeutics upon injection of the hydrogel. The Research Fellow will
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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philosophy of voice. To do this work, the project brings together a multidisciplinary and sector-spanning team of investigators, from philosophy, socio-legal studies, STS, history, sociology and design, with
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
advanced materials for a Spherical Tokamak (ST)-specific centre-column shield design. Advanced spatially efficient shields and an understanding of their in-service degradation is essential to the design of
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looking at the design and analysis of randomised trials of interventions to reduce the risk of vector-borne diseases (e.g. malaria and dengue). The Project offers an interdisciplinary opportunity to work in
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The Design, Trials and Statistics section in the Division of Population Health based in the School of Medicine and Population Health is seeking to recruit a Research Fellow/ Statistician who has a
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tangible interactions is a plus. You can also demonstrate your competence in HCI methods including: user study methodologies, experimental design work, ranging from in-lab to in-the-wild deployments, and
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mentorship if needed Contribute to writing bids for research funding Design and conduct qualitative research (e.g. interviews, focus groups) and/or economic evaluations Analyse and interpret data using
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, intervention design, development, and evaluation. We have a mix of clinical and non-clinical staff and take whole team approach to project support. This has been a key feature of our success. We proactively look
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users. You will collate pre-existing evidence, and design and execute qualitative interviews and self-report surveys (both retrospective and in-the-moment smartphone-based). With statistician support, you