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21 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Psychological sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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range of studies and the methodologies to be used. The post will offer opportunities to apply a variety of data sciences approaches and work with a wide range of large health/clinical/biological datasets
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, manuscripts, and grants, as well as the management of large clinical datasets. Job Description: Job Duties Outlined Research Overview: will perform research in the areas of data management and health outcomes
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simulation of the integrated optimisation of Vehicle-to-Grid (V2G) energy flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute
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grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience
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Faculty of Life Sciences and Medicine Hub for Applied Bioinformatics). We are looking for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 20 hours ago
researcher will be conducting research design, experiments, data analysis and interpretation, presentations at conferences and other meetings, preparing materials for grant reports, and manuscript writing
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, metabolites and other biomarkers. The successful candidate will contribute to knowledge on the mechanisms of antidepressants by analysing data from large clinical and population-based studies. The post-doctoral
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emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process
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Research Associate. The Postdoctoral Research Fellow is required to carry out scientific research on an aspect of an ARC Discovery Project on “A Probabilistic Approach to Big Data-Based Industrial Process