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Field
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" This 3.5 year PhD is open to UK nationals. The...
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties
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We are seeking a motivated PhD candidate to work on an exciting project that will advance correlative microscopy and microanalysis methods for studying mineralised biological materials and industrially-relevant human-made materials. This project will address key priorities in the microscopy...
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Hydrogen is the most abundant molecule in the universe, and it’s interaction with surfaces plays a key role in a huge range of processes, from star formation to the safe storage of rocket fuel, to industrial catalysis and green energy production. The aim of this PhD project is to study hydrogen...
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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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A PhD studentship awarded by the Freeman Air and Space Institute (FASI) to support the Institute’s research and capacity building work in the field of air power. Award details In an increasingly volatile international security environment characterised by the return of great power competition,...
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mechanics, acoustics, and computing science. It will potentially improve our current understanding of the silent flight of owls by uncovering the full mechanisms of noise reduction by flexible trailing edge
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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical practice. Digital Image Correlation (DIC) is a well-established, non-contact optical technique...
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Application deadline: 16 June 2025 16:00 GMT Atrial fibrillation (AF) is the most common heart rhythm disorder, but understanding its causes is challenging due to its complexity. It involves triggers like abnormal electrical signals (focal triggers) and swirling patterns of electrical activity...