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atmospheric plasmas are inaccurate and do not produce the correct compositions and energy distributions of expanding flows. The proposed research aims to make a step change in domestic and international
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We seek to appoint a Research Associate (postdoctoral scientist) to join the prolific climate/weather/environmental and impact science community at the University of Oxford, that is interested in
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
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must hold, or be close to completion of a doctoral degree in a relevant field (e.g., data science, geography, environmental science, public health, economics). You will have experience relevant for food
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With the human population estimated to reach 9.8 billion people by 2050, the looming nitrogen (N) crisis, stemming from the intensive use of fertilisers in agriculture, requires urgent global action
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at the University of Oxford and work collaboratively with academic partners at Warwick, Berkeley, Potsdam, Groningen and beyond. This post is based at the Department of Computer Science and on-site working is
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doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. Applicants should hold a PhD/DPhil, (or close
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of your application. Please do not attach any manuscripts, papers, transcripts, mark sheets or certificates as these will not be considered as part of your application. The Supporting Statement should
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of advanced X-ray methods to explore chemical, crystallographic and morphological changes that drive battery performance loss. You should possess a doctorate in a relevant engineering or physical science