600 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" Fellowship research jobs in United Kingdom
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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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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
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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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the tailoring and adaptation of programme protocols. For more information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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researchers and data scientists. In this project, the postholder will focus on developing and running the IBD cohort studies aligned to this program. This post is full time and fixed term for 1 year with
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use proteomic data to identify novel regulators of nervous system stability in health and disease. Examples of the application of this type of workflow from the Wishart group can be found here: https
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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Investigator, offering an opportunity to help shape an innovative research direction with strong potential for follow-on funding. You will support the development and application of quantitative and data-driven