582 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships in United Kingdom
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experience in both quantitative and qualitative data analysis. Prior experience working with vulnerable or marginalised populations is highly valued, as is familiarity with stakeholder engaged research, co
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and Loneliness and Social Isolation initiatives will provide an established platform to support co-design, recruitment, and data collection, enabling the development and evaluation of solutions with
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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Programme grant can be found at https://oncoeng.org/ Funding notes: The PhD project is funded through a University of Birmingham, School of Engineering PhD scholarship which provides maintenance
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 2 months ago
administrative housing data, environmental indicators, and accessibility metrics — and apply advanced spatial methods such as multilevel modelling and geographically weighted regression to identify relevant
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academic and industrial. Please check the hub website for further details: https://www.liverpool.ac.uk/energy-transfer-skills-training-hub
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specifically for ASD applications, and the creation of high-throughput, miniaturised screening platforms capable of accelerating data generation while reducing waste. The aim is to improve the solubility
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main challenges with this type of inspection: Data collection is largely a manual process, using remotely operated vehicles (ROVs) and/or handheld devices. This limits the repeatability and reliability
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status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http://www.pierre-ricco.co.uk/). Additionally
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applications, and the creation of high-throughput, miniaturised screening platforms capable of accelerating data generation while reducing waste. The aim is to improve the solubility, stability, and overall