599 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" Fellowship research jobs in United Kingdom
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you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application - http
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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collaborations with the NHS, government bodies, and industry—particularly within the region's flourishing digital sector. Our core research strengths include Artificial Intelligence and Data Science, Machine
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thinking. For further information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and
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was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk
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proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret
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developing proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously
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’ conditions (https://doi.org/10.1007/s10681-024-03300-x ) as a tool to enable future breeding programmes in these species to improve resistance to disease and environmental stress. Main Duties Undertake
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Contract type: Fixed term (Fixed Term for 6 months to complete a specific task or time limited work) Are you an ambitious early-career researcher with expertise in global health, data governance
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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including