21 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Cambridge
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-year tenure. These grants support the costs of academic materials, travel expenses, computer equipment, books and costs relating to organising a conference or workshop in St John’s. Fellowships are held
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/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality research and a strong
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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stimulating academic environment. A successful applicant is expected to be either a postgraduate student, probably in the latter stages of research leading to a PhD degree (or equivalent), or a post-doctoral
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, Chemistry or Earth Sciences. The Fellowship is intended to provide the successful candidate with the opportunity to pursue their own research programme while benefiting from the range of expertise in
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The Faculty of History and Christ's College invite applications for a three-year fixed term Fellowship, as part of the Isaac Newton Trust's Academic Career Development Fellowship programme. The
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latter stages of their research leading to a PhD Degree, or post-doctoral researchers who have recently been awarded their PhD Degree. Candidates who have undertaken more than five years of full-time
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graduates of any university. Candidates will usually have completed their PhD or equivalent qualification but must not have undertaken more than 2 years postdoctoral work or work outside academia by 1 October
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of any university. Candidates will usually have completed their PhD or equivalent qualification but must not have undertaken more than 2 years postdoctoral work or work outside of academia by 1 October