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and Technology and monitored by UK Research and Innovation (UKRI) . The programme’s mission is to develop innovative methods for designing and integrating microchips manufactured using different
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machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation
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profiles, and how improved burden estimates could inform FSA’s response to rising Campylobacter trends and threshold exceedances. Training: You’ll develop advanced analytical skills e.g. multivariate
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. We highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at/ . Ready to be part of our team? Let’s shape
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, who is motivated to develop deployable motor-twin methods for intelligent motor drives. The post is for the duration of 2 months and for a maximum of 20 hours per week. Main duties and responsibilities
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laboratory Publish and present your results at leading international venues, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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at the University of East Anglia, while extending the Rothera (https://www.bas.ac.uk/project/rats/ ) timeseries forwards. You will explore the effects of variable sea ice and of a shift to a long-term low sea ice
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
develop terahertz spectroscopy to advance materials insight and quality control for next-generation energy technologies. The project: Solid-state electrolytes are attracting growing interest for next
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We are seeking a creative and highly motivated Research Assistant/Associate to join Dr Somenath Bakshi's research group in the Department of Engineering. The project aims to develop quantitative