830 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" scholarships in United Kingdom
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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15 Jan 2026 Job Information Organisation/Company University of Birmingham Department School of Psychology Research Field Psychological sciences Computer science Researcher Profile First Stage
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15 Jan 2026 Job Information Organisation/Company University of Birmingham Department School of Psychology Research Field Psychological sciences » Cognitive science Computer science Researcher
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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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19 Jan 2026 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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for the following programme: https://study.ed.ac.uk/programmes/postgraduate-research/495-informatics-ipab-robotics-computer-vision-computer-graphics with a start date of 14 September 2026 (home applicants
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, please contact Dr Jun Jiang at jun.jiang@imperial.ac.uk . Further information on research in mechanical engineering at Imperial College London can be found at: https://www.imperial.ac.uk/mechanical
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for REF 2021 - Research Excellence Framework. For more information about our research results and case studies please visit the following link https://www.exeter.ac.uk/research/ref2021/ Projects Available
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | about 18 hours ago
how administrative data can be better used to inform the prevention of serious violence. It will examine how homicide and serious-violence data are generated, coded, linked, and analysed. It will draw
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This exciting fully funded PhD, will address the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities