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is opportunity to engage Oxford researchers with common research interests at SoGE and other Departments (e.g. a co-I, Prof Myles Allen, is a staff member of Physics and ECI/SoGE) and Schools (e.g
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process. Apply now
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science, statistics, physics, or a related discipline, and have experience of analysing and interpreting multidimensional biomedical datasets, particularly cancer data and/or spatial data. You will have a
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, computational biology, physics or a related discipline, and have experience of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C
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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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to learn new techniques and apply them in an interdisciplinary research environment. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting
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to apply If this sounds like you, please apply via the 'Apply' button above. Please note that as part of our commitment to anonymised shortlisting, panels do not view CVs during the recruitment process. If
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-18688-welcome-centre-for-international-scholars ). Recruitment and Selection: A two-stage review process will be conducted. In the first stage, the Recruitment Committee will assess the submitted
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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely