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months only to find they are worthless at harvest. This project aims to develop new capability to detect and measure volatile agents directly in smoke, allowing growers to make more cost-effective vineyard
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on transport electrification and energy efficiency, addressing the critical need to better understand and link user behaviour and individual electric vehicle (EV) usage with the place-based demands
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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
systems and sensor integration pipelines for PX4- and ArduPilot-based platforms. You'll work closely on embedded and real-time systems across various drone configurations and mission types. You will
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Centre at Macquarie University. In this role, you will lead the development of robust UAV control systems and sensor integration pipelines for PX4- and ArduPilot-based platforms. You’ll work closely on
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on designing and implementing a reclamation process for novel capture agents, ensuring process efficiency, economic viability, and minimal environmental impact. This is a unique opportunity to work at the
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presentations) and ability to conduct independent research. Ability to carry out research in complex networks, dynamical systems, agent-based modelling, social network analysis, data science, or related areas
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on the curation and application of high-quality, evidence-based research from psychology, neuroscience, and education. The program of action research will be based on three priority areas: Agentic AI and Learning
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psychology, neuroscience, and education. The program of action research will be based on three priority areas: Agentic AI and Learning Modalities Challenge-Based Learning Peer-to-Peer Learning and Feedback
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems