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systems enables effective digitalisation and automation transition. This project aims to build a generative AI model and algorithm for optimising manufacturing systems’ engineering design and processes
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: biological engineering reactor design, molecular microbiology, molecular ecology and bioinformatics. You will also have the opportunity to attend conferences. Cranfield University is a specialist postgraduate
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. The manufacturing capability is world leading and combines a multi-disciplinary approach that integrates design, technology and management expertise. We link fundamental materials research with manufacturing
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, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International
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of the industrial giants from the defense sector (BAE Systems) The work is envisioned to have great impact on design and development of intelligent autonomous agents. Fully funded Ph.D. covering not only tuition
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inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering
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connectivity and flight dynamics, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to develop innovative prediction mechanisms. The primary goal of this project is to design advanced
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-engine design and a key research area is the ability to measure complex flow fields. Within that context, the overall aim of this PhD is to further develop non-intrusive laser-based flow measurement
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the impacts of water quality pressures, hydromorphological alteration, and ecological degradation. In partnership with key stakeholders, you will design a field survey, collect samples of riverbed biofilms
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assessing interoperability levels by means of designing and applying a new process to identify metrics for interoperability measurement, and also define thresholds for a minimum required interoperability