24 natural-language-processing Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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The School of Health Sciences, University of Southampton, invites applications for an exciting research position within the Extreme Temperature and Health OutcomeS (ETHOS) project. This Natural
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Processing (e.g., NeurIPS, ICML, IEEE Transactions in Audio, Speech and Language Processing). You will benefit from: Extensive opportunities for collaboration with external project partners. Opportunities
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written and oral communication skills. The deadline for applications is the 20th July 2025. The position is tenable from the 1st of September 2025 or as soon as possible thereafter. Informal inquiries
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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good understanding of social science applied health research. You will need to be able to work independently and efficiently in a research context, and will have excellent written English skills with
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cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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Reality for Learning in Context – Movement and memory go together. How can we leverage movement over and through our environment to build new skills – like 2nd language acquisition - to thrive better
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data