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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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remain connected with the University through effective management of data held in our supporter CRM database. This role underpins all communications with the University’s alumni community and their ability
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please visit: https://www.brunel.ac.uk/about/our-history/home Department/College: Student Data and Timetabling, Academic and Student Administration Directorate. Location: Brunel University London, Uxbridge
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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
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developing skills and understanding of data linkage. What we offer Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. Our commitm ent to Equality, Diversity and Inclusion As
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robust IT tools and processes for data collection, analysis, and reporting, ensuring consistently high standards of accuracy. Supporting accreditation processes will be key as you compile critical reports
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flexible location principles, but there is an expectation that the post may also be required to be on campus on any day of the working week. We are looking to appoint a Data Development Consultant – Project
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Transform how we determine biomolecular structures. This PhD develops generative AI tools that use
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 1 month ago
2026. The project. Forty‑two percent of working‑age adults in England struggle to understand everyday health information, creating serious barriers to informed medical decision‑making and patient safety