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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
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. Using cutting-edge numerical methods and high-resolution simulations, you will explore key physical processes governing CO2 plume migration, trapping mechanisms, and fluid–rock interaction under realistic
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on biological tissues and medical image processing. The studentship includes many opportunities for the candidate to build their professional network by presenting their work at conferences and discussing
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(including the Composites Suite, the new high-temperature polymer processing equipment, the new electron microscopy unit, the aerial robotic flying arena) and to develop skills in polymer (nano)composites
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Mechanical, Aerospace Engineering or other related courses. Applications will be accepted until the position is filled, although the selection process will start from 10 December 2025.
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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Academic Studentship. Application procedure Stage 1: Submit your completed online programme application for PhD Politics by 1 December 2024. We can guarantee eligible applications submitted by
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can determine whether persistence arises from the biomass type, formation process and/or the final composition and structure itself. We will quantify these features and engineer biochar with enhanced
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cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication