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intelligent autonomous systems operating under uncertainty, limited information, strategic human behavior, and complex multi-agent interactions. The postdoc will work at the intersection of control theory
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system for spatial navigation and memory, as well as one of the most investigated regions of the brain. However, recent experiments showed that our understanding of its the function is incomplete and can
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complex instruments and run simulations to accelerate discovery. This involves navigating vast parameter spaces, identifying rare or transient phenomena, and dramatically optimizing the use of precious
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of complex socio-technical or organisational systems causal inference, econometric analysis, or formal decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong
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of Civil Engineering, The University of Sydney Your key responsibilities will be to: design and conduct experiments experimentally identify how control parameters (e.g. bucket speed, size, depth, and packing
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decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong programming skills in Python and familiarity with modern computational toolchains a clear interest in
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with ARSPECTRA, world leader in medical AR glasses and navigation platforms. The focus of this position is the development of real-time, trustworthy biomechanical simulations for brain and skull
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, the Postdoctoral Associate will investigate hippocampal and cortical circuits during navigation and goal-directed behaviors using large-scale electrophysiology, in vivo imaging, optogenetics, and computational
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in robotics, forest ecology, remote sensing, and fire science, you'll be developing autonomous navigation systems that enable drones to fly safely beneath forest canopies, collecting critical data
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under