26 postdoc-in-system-identification Postdoctoral positions at University of Cambridge in United Kingdom
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. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions to many
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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A Research Associate post is available in the Drosophila Connectomics Group directed by Greg Jefferis and Matthias Landgraf in the Department of Zoology at the University of Cambridge. The applicant
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spectrometry for the identification and quantification of metabolites. Experience with plants is desirable but not essential. Fixed-term: The funds for this post are available for 3 years in the first instance
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aims to provide mathematical models of decontamination processes and is funded by the Defence Science and Technology Laboratory (Dstl). The approach to mathematical modelling is multifaceted, with
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology
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India. This project is funded by the Arts and Humanities Research Council (AHRC) and the German Research Council (DFG) and is led by Prof. Ianthi M. Tsimpli. The goal, through publications, academic