154 phd-in-architecture-and-built-environment Postdoctoral positions at University of Oxford
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Institute. This role is especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social
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on funding. We wish to fill it at the earliest possibility. About you You will hold or be close to the completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
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new phase microscopy hardware to provide real-time feedback on the polymer network during laser processing. About you You should possess (or be near to completion) of a PhD in optical engineering or a
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of conventional and spatially resolved angle resolved photoemission spectroscopy with spin resolution. The post holder provides guidance to less experienced members of the research group, such as PhD and project
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place in the following week. The University of Oxford and The School of Geography and the Environment are Silver Athena SWAN holders. Applications are particularly welcome and encouraged from women, black
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of Geography and the Environment are Silver Athena SWAN holders. Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. In this post you will manage your own academic research and
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will