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-UAS technologies o Multi-agent systems and swarm robotics o Autonomous navigation and guidance o Computer vision and perception o Machine learning
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Full time, 1-year fixed term position with possibility of extension Be part of the development of novel quantum magnetometer-based navigation tools for autonomous marine systems Base Salary $117,936
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systems, autonomous systems, or learning-based navigation. A strong publication record in relevant journals or conferences would be an advantage. Soft skills Strong communication and problem-solving skills
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magnetometer-based navigation tools for autonomous marine systems Base Salary $117,936 - $137,500 + 17% superannuation About the opportunity The University of Sydney's Australian Centre for Robotics (ACFR) is
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). AI/ML frameworks (PyTorch, TensorFlow). Autonomous navigation and motion planning. Sensor fusion and perception systems. Experience with robot simulation, digital twin development, and physics-based
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 26 minutes ago
emerging medical technology domains: interventional and autonomous systems, extended reality technologies, and novel imaging validation and evaluation methodologies. This integrated project aims to develop
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for automated construction. This project aims to revolutionize on-site operations across three key trades: precast concrete panel installation, drywall installation, and autonomous material transportation
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navigation and perception systems. As a key aspect of this role, you will have the unique opportunity to gain hands-on experience in developing and maintaining software solutions for our existing automated
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members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where