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coxsackievirus B3, echoviruses and rhinoviruses as model systems. The role includes generating and analysing protease-deficient viral mutants, integrating proteomics and RNA biology, and collaborating with
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NOx emissions will also be explored. This research is expected to be published in peer-reviewed journals. Keywords: Porous burner, 3D CFD, hydrogen and ammonia combustion modelling, heat transfer
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About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making relies on accurate models
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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machine-based facial recognition, and where do human and machine decisions diverge? Do SR methods perform equitably across demographic groups? Can SR models be improved using human perceptual insights
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start date of March 2026. For work on site, the principal location will be the UOC Campus, at Rambla del Poblenou 154-156, Barcelona. At the UOC, we work with an open working model that combines remote
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of Chemistry is a leading international centre for chemical kinetics and its applications. (https://eps.leeds.ac.uk/chemistry ) Task description for your Individual Research Project (IRP) Problem Definition
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across demographic groups? 4. Can SR models be improved using human perceptual insights? This project provides extensive interdisciplinary training from subject experts and industry, including in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize