19 phd-computer-artificial-machine-human Postdoctoral positions at University of Cambridge in United Kingdom
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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evolution and protein optimisation, applying molecular biology and biophysics. Researchers will be supported to develop skills in the latest AI or machine learning tools for protein design. According
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Khushboo Borah Slater working on pathogens causing tuberculosis and Q-fever in humans. The individual will participate in current research projects on Coxiella Burnetti and Mycobacterium tuberculosis
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with grant administration and the writing of reports for funding bodies, when relevant. The Department of Sociology is part of a joint undergraduate degree programme in Human, Social and Political
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research centre well-known for its close-knit community, friendly atmosphere, and outstanding research support. We are seeking a post-doctoral research associate with experience in computational approaches
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design
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://degradationproject.com/ ) and NEXGENNa (http://nexgenna.org/ ) projects and participation in regular relevant FI meetings. Applicants should hold (or be about to obtain) a PhD in Chemistry, Materials Science, or a closely
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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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enable the full exploitation of next-generation observations using Exascale computing, i.e. leading the research in solar/stellar physics for many years to come. We are seeking a highly motivated Research
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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