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techniques for autonomous and data-intensive systems. The role is part of a defined program of research aimed at developing resilient and high-performance AI architectures for secure and real-time applications
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teams actively contributing to, and taking a leading role in, the organisation and promotion of seminars and workshops related to these projects. About you PhD in architectural science or building physics
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, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students, engineers, and academic staff across interdisciplinary domains. Leading publications in top
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research in drone autonomy, sensing, and cooperative multi-agent systems. Designing, implementing, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students
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new challenges. Key responsibilities will include: Research: Infrastructure Design & Implementation: Lead architecture, development, testing, and support of a vendor-sourced platform for real-time
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digital tool solutions that support frontline practitioners, policymakers, and international partners combatting wildlife trafficking and environmental harm. ESSENTIAL MINIMUM CRITERIA PhD in a relevant
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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learning and cloud-based architecture skills to lead the fine-tuning/training, design, development, and integration of the AI components of the AiCT-Med platform. Candidates from diverse backgrounds in AI
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The fellowship is available to assist an Honours, Masters or PhD student who is interested in studying any of the collections held in the Fryer Library, University of Queensland, to support their