170 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of Oxford
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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for differential rate correction). The successful applicant will hold, or be close to completion of, a relevant PhD/DPhil in bioinformatics, comparative genomics and phylogenetics, together with relevant experience
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Aldridge research and group here About you Applicants must hold a PhD in synthetic inorganic chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment
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close to the completion of, a relevant PhD/DPhil together with relevant experience, and have relevant experience of chemical and petrological analysis of igneous rock samples. You will possess sufficient
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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of conventional and spatially resolved angle resolved photoemission spectroscopy with spin resolution. The post holder provides guidance to less experienced members of the research group, such as PhD and project
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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group : here About you Applicants must hold a PhD Inorganic Materials Chemistry or a related area (or be close to completion), prior to taking up the appointment. The research requires experience in
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relevant PhD/DPhil in immunology or cell biology (or near completion) together with proven evidence for ability to independently lead and complete impactful research projects that address fundamental
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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