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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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6 Sep 2025 Job Information Organisation/Company QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT) Research Field Architecture Engineering Researcher Profile Recognised Researcher (R2) Established Researcher
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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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, implementing, and optimising advanced neural network architectures tailored to biological sequence and network data, with a particular focus on RNA-mediated gene interactions. Applying interpretable machine
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science