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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar
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dynamics to bridge the gap between manufacturing and aerodynamic testing, supporting the next generation of high-performance engineering. What you’ll do: Investigate the relationship between manufacturing
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analysis, critical thinking, scientific writing Your supervisors will help you identify your training and development needs, and use dedicated time and funding within the ARIES DT programme to support your
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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be interested in applying social science approaches to an environmental setting. However, we welcome applicants from a range of disciplines and experiences, who have a passion for environmental
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across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
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This project is a fully funded MSc by Research Scholarship in Medicinal Chemistry / Synthetic Organic Chemistry and builds on a successful decade-long research programme at the University of Exeter
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of the candidate A first-class or upper-second-class degree (or equivalent) in physiology, nutrition, biomedical science, exercise science or a related subject. A keen interest in human metabolism, physical
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The Open University Business and Law Schools are inviting applications to join our campus-based PhD Programme and our new PhD by Distance Learning Programme. The starting date for both programmes is