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application and in any correspondence about this vacancy. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Essential PhD (or near completion) in Computer Science, Physics, Mathematics, or related field
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
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We are seeking a motivated and skilled in vivo Research Assistant to join the group of Professor Richard Gilbertson at the Cancer Research UK Cambridge Institute. The Gilbertson lab is dedicated to understanding the origins and progression of paediatric brain tumours and developing new...
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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of virus evolution into mathematical models of spillover infection and transmission of prototype viruses representing viral families concern to support the development of methods for virus sequence analysis
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A Post-Doctoral Research Associate post is available in the Connectomics Group directed by Greg Jefferis in the Department of Zoology at the University of Cambridge. Greg Jefferis and Elizabeth Marin in Cambridge together with Wei Lee (Harvard Medical School) and Meg Younger (Boston University)...
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the development of principled, mathematical tools. Such tools need to be able to handle a variety of working environments (e.g., dynamic environments), input data (from traditional frame-based data to non
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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics