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neural networks) to design and optimise integrated photonic devices and metasurfaces. This includes building automated workflows that link electromagnetic simulation tools with AI models to accelerate
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current hydration assessment methods are invasive, time-consuming, require controlled laboratory conditions, or rely on single markers that provide limited real-world insight. This project addresses
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of Jerusalem – Zelman Cowen Academic Initiatives (ZCAI) Joint Project (Modern X-ray detectors based on 2D metal halide perovskites). These projects aim to develop inorganic nanocrystals with controlled size
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customisation, and industry-cluster networks produce sustainable employment outcomes, with a particular focus on autistic jobseekers and employees. The project is structured as a thesis by publication
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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, specialized facilities, and dual academic networks, graduating with two doctoral degrees to maximize global career impact. The Research Opportunity This PhD project will explore how generative AI, molecular
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behaviour, distribution, and management of perchlorate across Australia. Whilst primarily based at Flinders University, candidates will work collaboratively with the Energetic Materials Research Network
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for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web page For further details or alternative project arrangements, please contact: [email protected].
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engagement. ● Expand your professional network through industry placements, workshops, seminars, and national and international conferences. ● Contribute to developing innovative technologies that support
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successful. To be eligible, you must be an Australian or New Zealand citizen or Australian permanent resident. Please see other eligibility requirements and other details at the following link. https