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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a
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original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation
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This is a crystallography Postdoctoral Research Associate position in the Schofield group and the Ineos Oxford Institute for antimicrobial research (IOI). The institute aims to combat antimicrobial
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. The position is available for a fixed term of 36 months from time of appointment. This project is associated with a new EPSRC/UKRI-funded project entitled “Mastering charge-lattice interactions in novel
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to drive forward the analyses of some of the diverse datasets that we have available, producing outputs that contribute to the health of patients and the public. This position is fixed term for 2 years and
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
recommendations for the effective adoption of these solutions. You should possess a relevant PhD/DPhil (e.g. in Design, Business, Engineering or a related discipline) and sufficient specialist knowledge in
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will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be
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facilely applied as a photoluminescent layer, targeting in situ detection and non-contact visualization of surface temperatures and pressures. You should hold a PhD/DPhil (or near completion*) in materials
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amino acids and growth factors. You will hold a PhD/D.Phil. or be near completion* in microbiology, molecular biology, cell biology or closely related area together with relevant experience and have
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track