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. Successful candidates should hold a PhD (or be close to completion) in a relevant area of astrophysics or physics, and should have experience in Type Ia supernova cosmology (e.g., supernova modelling
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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for their further development. You will work in close collaboration with our Outreach teams across both learning design and programme delivery. Your work will focus on ensuring our programmes
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members of the research group which include research assistants, MBiol and PhD students, and project volunteers. They will have access to cutting-edge experimental and computational facilities situated in
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applications, writing manuscripts as well as providing guidance to junior members of the research group which include research assistants, MBiol and PhD students, and project volunteers. They will have access
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quantification. Find out more about the research and group here. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of computational biology, molecular
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(computational and experimental postdocs, PhD students, research assistant) with access to cutting-edge experimental and computational facilities. The postholder will have the opportunity to regularly interact
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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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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