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for aviation use. The successful candidate will be based in the Mechanical and Aerospace Systems research group (previously known as G2TRC) within the faculty of Engineering and will be part of a supportive
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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co-design adapted and new methods to enhance reflection and learning in and adaptive capacity of learning-oriented experiments. The intended start date of your employment is 1 November 2025 and the
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Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics
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Engineering, and Engineering Management. Students with interests in computational mechanics, optimization design, bioinspired design, sustainability management, machine learning, AI, uncertainty quantification
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critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements of the GAG biosynthetic machinery. Applying novel GAG analytical technologies to investigate how changes
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Funding for: UK/Home Students Funding amount: Annual tax-free stipend of £22,780/year, full coverage of tuition fees for UK/Home Students, plus training/travel funds We invite applications for a
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machine learning, computer vision, or robotic perception would be an advantage. Experience with sensor fusion techniques and various sensor technologies would be an advantage. Experience with open-source
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. Assess ecological change by applying shotgun metagenomics and amplicon sequencing to track microbial community shifts under persistent wet skimming. Translate lessons learned into engineering design rules