616 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of New Hampshire" Fellowship positions in United Kingdom
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of and ability to develop and deliver high-quality research and to publish in peer-reviewed journal Additional Information Closing date: 22 March 2026 at 11:59pm. Please quote reference: 679-26 Please
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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preferred PI and department/research group and may suggest co-mentors across the University’s rich network final lists will be provided on the call website: https://careers.univie.ac.at/en/postdoc/e-steem
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of their efficacy and drug-like properties by collaborators in the Schools of Life Science and other project partners. Prepare high quality supporting data for patent applications and publications resulting from
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responsible for programme management, overseeing project delivery. Third they will contribute to the data collection, analysis and dissemination of mixed methods research activities within the study. Starting
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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distribution networks Nuclear data Fission and fusion fuels Metallurgy, and materials performance and manufacture, for the nuclear sector For more information on any of the above areas, please email dalton
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2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk
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to the eRecruitment (Workday) system, each 5MB. Contact Information: More information can be found on our website at https://www.hiit.fi/hiit-postdoctoral-fellow-positions-in-computer-science . For questions regarding
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will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL