22 post-doc-image-engineering-computer-vision Fellowship positions at University of Cambridge
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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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, 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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subject who have the ability to lead an exciting, innovative and fundable research programme. The applicant would typically have at least 3 years of post-doctoral experience and may already have experience
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of work and be completing
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strongly encouraged. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of
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whose interests range from discovering new cancer treatments, and advancing quantum computing, to evidencing the impact of social media on children’s mental health. “These prestigious awards offer a rare
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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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Fixed-term: The funds for this post are available for 3 years in the first instance. We invite applications for a Postdoctoral Research Fellow to join the Lab of Interdisciplinary Spatial Analysis
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)30157-0/fulltext).¿The mission of the collaboration is to accelerate research and development into immune-related diseases by applying cutting edge analytical technology and analytical expertise