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learning for material characterisation and property prediction, finite element modelling, structural optimisation, and experimental testing of timber, bonded interfaces and laminated components. The
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strategy for regenerative architecture. The focus is on enveloping surfaces in the built environment. The project will focus on designing, testing and demonstrating, at architectural scale, porous
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infusion sets. Pilot testing with regional procurement teams will validate usability and feasibility in real-world settings. The PhD project involves four main activities/tasks: Mapping current
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biological datasets. Ensure reliable implementation of automated quality control, testing, documentation and reproducibility reporting. Communicating computational results clearly to
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systems and digital twins with multi-modal sensing and AI, aligned with agronomist-defined needs. Participate in integration and field testing with Robotic Intercropping partners. Design software
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scores: International English Language Testing System 7.0, Test of English as a Foreign Language (paper-based) 600, or Test of English as a Foreign Language (internet-based) 100. The test must be no
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. Integration of autonomy with onboard inspection payloads (cameras, microphones) and existing turbine data. Operation and flight testing of multi-rotor UAS, including experiments at turbine sites. During
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written) Knowledge of or experience with innovation processes, feasibility testing, and health economic evaluation will be considered an advantage. Qualification requirements PhD stipends are allocated to
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-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in
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rodent models I n-vivo methods using brain stereotaxic surgery and rodent behavioural testing Postmortem neuroanatomical methods: brain tissue processing and histology Different advanced imaging and