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accelerate the global shift to electric mobility. This PhD will build an AI-driven fleet-scheduling framework that learns from battery data in real time and optimises charging, operations and maintenance
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start up environment. This is an unpaid role with flexible scheduling to complement your studies. The experience will provide exposure to both academic research and the fast moving world of biotech
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relative to opportunities when assessing suitability for the role. Applications close 18 September 2025 at 11.00pm AEST (R-55191). Please note that interviews have been tentatively scheduled for the week
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to forecast disease burden under alternative vaccination schedules and to assess the impacts of completed vaccination programs against baseline transmission counterfactuals. This project will build on existing