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Science, Statistics, Physics, Hydrology, or Information Engineering At least one first authored publication in a referred journal Strong record of productive and creative research, demonstrated by
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researchers, willing to work on this challenging project at the boundary of biology and quantum physics are welcome to apply. Education & qualifications: Applicants should have, or be close to obtaining, a PhD
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for ultra-efficient jet engines Advanced modelling of particle deposition and ice accretion for next generation, ultra-efficient aviation engines Multi-physics approach to studying the complex aerodynamic and
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@cam.ac.uk for queries of a technical nature related to the role or Jemma Cosby [email protected] for queries related to the application process. Please quote reference NM41746 on your application and in
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allowance). The successful applicant will also have access to research funding at the University of Cambridge and the British Museum. Application process: Applications will need to be made through
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any queries about the application process please contact [email protected] . Please quote reference NR41691 on your application and in any correspondence about this vacancy. The University
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or the application process, please contact: Mari Huhtala, [email protected] (Tel +44 01223 748245). Please quote reference NM41744 on your application and in any correspondence about this vacancy. The University
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contact Prof Seb Savory ([email protected] ) for queries of a technical nature related to the role. For queries on the application process, contact: Sue Murkett, email: [email protected] . Please quote