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ultra-efficient lasers and all-optical transistors. Our goal is to uncover the elusive physics of strongly interacting polaritons far from equilibrium, bringing the vision of room-temperature superfluid
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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safety, innovation, and making a tangible impact, we encourage your application. Please note that the successful applicant will also need to satisfy the general requirements of entry into a PhD program at
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . The Opportunity Gain experience working with industry to solve real-world problems while you earn your
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nanoparticles in drug delivery or diagnostics, familiarity with cellular targeting, and use of computational tools to model nanoparticle behaviour. Experience in a regulated research environment is also
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Child Safety CSIRO is committed to the safety and wellbeing of all children and young people involved
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, Materials Science, or Manufacturing Engineering. Applicants should also ensure they meet the eligibility criteria for entry into a Swinburne PhD program. Full details can be found here . Additionally
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members of the public, healthcare providers, other key stakeholders, and policy makers (from Objective 1) to ensure it fits their vision and is clear, concise, and compelling. Based on the feedback