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changes (so called swelling). Swollen batteries are at risk of rupturing which may significantly shorten their lifetime. Development of advanced computer models is critical for understanding and
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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 | 2 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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programmes. For further details, please visit: https://www.birmingham.ac.uk/study/postgraduate/research/how-to-apply/advertised-phd When submitting your application, please include the project title listed
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-award PhD programme in a variety of projects across the Faculty of Science and Engineering, with applicants spending four years across Manchester and Kharagpur. Students enrolled on the newly launched
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deliver world class turbine testing at TRL 6 level in the Whittle Laboratory's new National Centre for Propulsion and Power. This will require you to create and execute engineering design, computational
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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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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for...