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as structural members when deployed make a good basis for a deployable structure. The two main aims of this project are to develop novel designs and manufacturing methods for foldable composite
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tumours and metastases with the goal to design combinatorial therapeutic approaches. The project will involve the use of genetically complex organoid-derived transplantation mouse models of pancreatic
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students driving innovation across marine, energy, robotics, and materials engineering. With world-class facilities and strong industrial partnerships, we tackle real-world challenges through high-impact
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of monopiles and jackets to depths of 80–100 m. Such solutions for these greater-than-standard depths should provide viable fixed-bottom designs to unlock numerous offshore sites with gigawatts of wind energy
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investigate strategies to enhance communication security, focusing on resilience against jamming and spoofing attacks. Students will work on designing secure architectures that ensure data integrity and system
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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Cranfield University invites applications for a PhD funded by Thames Water through the Ofwat Innovation Fund. The studentship covers full Home tuition fees plus a tax free stipend of £24,000 per
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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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facilities and be based within the Centre for Metamaterials Research and Innovation (CMRI): a community of academic, industrial, and governmental partners that harnesses world-leading research excellence from
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. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters