6 structural-engineering-"https:"-"https:"-"UCL" PhD positions at Manchester Metropolitan University
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temporal structure and missing data affect multimodal learning Identifying fundamental trade-offs between accuracy, efficiency, and robustness. The project emphasises foundational machine learning research
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method of measuring areas of hair loss/recovery. This will tackle the problems of current technology, where it can be time-consuming, expensive, or require shaving of a patient’s hair. The successful
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government and education policy priorities and futureproofing learning experiences to equip future generations of students with the skills to thrive in a technology-driven and interconnected world. Supported
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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel
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dynamics to bridge the gap between manufacturing and aerodynamic testing, supporting the next generation of high-performance engineering. What you’ll do: Investigate the relationship between manufacturing
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publications while advancing knowledge at the intersection of engineering, sustainability and motorsport. Project aims and objectives Identify the waste streams and prioritise which should be targeted to ensure