571 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions in United Kingdom
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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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for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
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-funded Fees and Bench fees: Bench fees £1500 Information on fees can be found here: https://www.brookes.ac.uk/study/fees/postgraduate-research-fees/ Start Date: September 2026 Project Title: Dietetic Needs
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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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case study, supporting local action, and generalising and sharing findings for the benefit of other regions. The focus will be on data collection, processing, analysis and visualisation and systems
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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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are available at: https://www.open.ac.uk/science/physical-science General information about studying for a research degree with the Open University is available from the Research Degrees Prospectus: http
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during domestic abuse responses? Qualitative interviews with police officers will be conducted. This project is delivered in partnership with Operation Encompass (https://www.operationencompass.org/ ), a
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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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