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                for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient 
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                A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Data Science for Construction Productivity. The researcher's responsibilities will include 
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                Department: Materials Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Application deadline: 15/09/2025 Research theme: "Materials 
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                , the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and 
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                chemistry of polyol binders (HTPB) and isocyanates for optimization of formulation (pot life) and product mechanical properties for application in solid rocket propellants. Due to the confidential and 
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                the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework 
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                Fixed-term: The funds for this post are available for 2 years in the first instance. The Department of Computer Science and Technology is an academic department that encompasses computer science 
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                Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join 
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                collaboration with modelling or industrial partners Candidate Requirements We welcome applications from candidates with the following background: Academic degree (BSc / MSc or equivalent) in Materials Science 
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                integrate data from multiple sources—including tipping bucket rain gauges, weather radar, and satellites—using robust coding and data science techniques. A comprehensive quality control framework will be