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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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The Oxford Agile Initiative has awarded funding for an exciting 12-month research project exploring the macroeconomic and distributional impacts of the UK’s Seventh Carbon Budget. Developed in close
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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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. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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distribution of immune cells using analyses such as immunohistochemistry or immunofluorescence. You will have expertise in developing multi-parameter (>4 colour) immunofluorescence approaches, experience in
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
of tropical forests in the Amazon and on how these relate to the distribution of vector-borne diseases in the Amazon forest. The post holder will carry out their research, advised by the PI and Dr. Milton
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty