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the experiment design, impact analysis and icing code droplet impact solver refinement. The main impact of the work will be to provide droplet impact data and analysis at high speeds which are closer to real-time
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graduate ready to drive change in AI-powered system certification and governance. Through this PhD, students will master the intersection of AI, verification, and regulatory compliance, gaining a rare
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simultaneous data acquisition with fluorescence live-cell microscopy. This PhD position offers the opportunity to develop technologies for acquiring novel data on cancer tissue biomechanics—information that has
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and interdisciplinary. Please visit https://www.ucl.ac.uk/european-languages-culture/programmes-and-courses for more information. About the role The awardee will conduct an investigation
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Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
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contacted directly after the application deadline) diplomas and transcripts (bachelor and master / diploma) Via our job portal, "Apply now" button If you have any questions, please contact: Joao Alves
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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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Title’ using the programme code:8080F Research area: Statistics select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further
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Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for each project. “Development of natural-ageing-resistant, heat-treatable lean aluminium alloys
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(such as the National Travel Survey and mobile phone data) and primary data collection, for example based on a life-diary approach, to capture the interrelationships between mobility and lifestyle-related