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of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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groups. With a strong focus on human tissue use we are looking for this post holder to become one of the deputy human tissue point of contact for the department. This will be an advisory role guiding
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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the relationship between the increase in atmospheric CO₂ concentration and its sequestration as carbonates, particularly influenced by microbial processes. It focuses on the formation of carbonate sludge in various
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foldamer catalysts, and their application towards a variety of stereoselective processes, including organocatalytic and photocatalytic reactions. Applicants should have extensive experience in both small
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and/or flow cytometry-based readouts of infection Experience with biochemical assays (e.g. Western blotting) Experience handling/processing samples in vivo infection models and/or human samples
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here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
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scholar to perform research related to lung injury and resolution. The successful candidate will use cell-based and mouse cells/tissue to study macrophage signaling pathways that promote lung injury
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sources include traffic emissions, industrial processes, tobacco smoke, and domestic combustion (e.g. poorly ventilated stoves or heaters). While CO at low concentrations acts as a physiological signalling