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Field
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central to next-generation electronics, and this PhD embeds you in that evolution. With support from Cranfield’s industrial partners, you’ll engage in real-world testing, fault injection campaigns, and
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multiphysics degradation behaviours such as fracture, creep, and oxidation. Your modelling work may be complemented by hands-on thermomechanical testing and damage characterization, offering a comprehensive
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current legislation for non-deterministic AI systems. (2) Create new compliance testing procedures and processes for agricultural AI machine learning systems. These are essential for manufacturers
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, automotive, and digital infrastructure, participating in audits, standards evaluations, and compliance testing. The project encourages international dissemination and engagement, with funded opportunities
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the sensor prototype on existing test rigs at Cranfield University and benchmark with high-end commercial solutions This project has a high impact on the industry as it can lower the hardware installation and
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
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testing (NDT) or laser ablation. This exciting PhD opportunity offers a unique combination of academic and industrial challenges, equipping the student with the skills to tackle complex mechatronics
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. This exciting project will focus on designing, constructing, and testing synthetic cells with multiple sub-compartments. Just like their living counterparts (i.e. eukaryotic cells), synthetic cells with different
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mechanical testing is desirable. In addition, applicants should be highly motivated, able to work independently, as well as in a team and have effective communication skills. Applicants must be eligible
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-ion batteries, rotating machinery, aircraft fuel system, APU, and electrical power generation system). A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and