162 web-programmer-developer Postdoctoral positions at University of Oxford in United Kingdom
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The Department of Biology is seeking to recruit a Postdoctoral Research Associate for 24 months. This post is financially supported by the UKRI through the Frontier Guarantee Programme to Dr Jani R
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the development of novel fluorination methods for the preparation of fluorinated molecules of strategic importance using readily available feedstock and cost-effective sources of fluoride including
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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developing high performance PV devices using perovskite photoactive materials. Experience of perovskite PV device analysis is essential, as is experience in the fabrication of perovskite PV devices. Experience
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/07/2027 in the first instance with a possibility of an extension, subject to funding. The role aims to develop and expand upon well-established chemistry in the Avestro Group to investigate how
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to supporting the professional and career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives
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the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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to autoimmunity, allergy, and transplant rejections. Our research is focused on understanding how T cells make these critical response decisions. We aim to develop a quantitative understanding of how signals from