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schedules, while accounting for differences in vehicle capacity, speed, energy use and service roles. It will explore spatiotemporal data management, optimisation and AI-based coordination to improve first
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industry-standard electromagnetic simulation software. Develop additively manufactured and 4D-printed antenna prototypes, including the preparation and optimisation of fabrication processes. Conduct
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techniques such as CV, LSV, EIS, Tafel analysis, stability testing, IPCE, and solar-simulator measurements. Experience in the synthesis and optimisation of catalysts, functional materials, electrodes
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for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an Incident Photon-to-Current Efficiency (IPCE) measurement system and a customised roll-to
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for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an Incident Photon-to-Current Efficiency (IPCE) measurement system and a customised roll-to
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to: Design, model and optimise microwave circuits, antennas and antenna systems for CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave
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assist with primers and probes, optimise targeted molecular assays, troubleshoot routine technical issues, and develop or adapt laboratory protocols and standard operating procedures. Perform quality
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following areas: mathematical optimisation, vehicle routing and scheduling, machine learning, reinforcement learning, logistics simulation, predictive analytics, or transport modelling. Strong programming
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under uncertainty. The role will suit a researcher with strong technical capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation
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capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation, probabilistic methods, or related areas. This project is part of an ambitious research