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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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systems. You will contribute to the design, testing, and deployment of cutting-edge control, navigation, and autonomy stacks running on onboard computers across ROS/ROS2-based platforms. Key
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planning algorithms for GPS-denied lunar environments and extreme operational conditions stochastic optimisation frameworks for mission-critical decision-making under uncertainty Research areas and technical
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algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
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School of Electrical Engineering and Computer Science Full time (100%), fixed-term position for up to 12months Base salary will be in the range $82,057.75 - $109,246.18+ 17% Superannuation (Academic
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
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Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real-world impact. Full-time appointment on a fixed term basis for two years. Base salary range
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Job no:521360 Work type:Full Time Location:Crawley Categories:Arts, Business, Education, Law Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational