27 phd-computer-artificial-machine-human Postdoctoral positions at University of Cambridge
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Fixed-term: The funds for this post are available for 12 months. Applications are invited for a Research Assistant (RA) to join the Prorok Lab in the Department of Computer Science and Technology
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Limit of tenure applies We are seeking a highly motivated and skilled Postdoctoral Researcher in Human Physiology and Metabolism to join our dynamic research team at the Institute of Metabolic
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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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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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humanities team in the project to develop an annotation tool for Zoroastrian Dari oral recordings. Contribute to the linguistic annotation of Zoroastrian Dari texts and recordings. Contribute to corpus
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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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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research