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learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging
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Processing/Control Path Planning/Trajectory Planning Multi-Target Tracking/Multi-Object Tracking, Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches in radar
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look for you, a motivated and talented individual eager to gain experience in the sustainability industry in a defined timeframe. This internship allows you to sharpen your skillset and build a track
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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methods for elemental tracking of Ca under biotic and abiotic environments in a range of substrates and microbial metabolic pathways using stable isotopes. A 3 year PhD project available at Curtin
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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the evolution of massive binary stars into compact binaries as sources of gravitational-waves and astrophysical inference on gravitational-wave observations. My research group on massive binary evolution -- also
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Inference Tool (GAMBIT) Community I study various theoretical frameworks that extend the standard models of the elementary particles and cosmology to understand the nature of dark matter, dark forces and dark
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only to the player with the ball. It may have been created by the lines other attacking players were running, or it could be prevented by the defence repositioning quickly after a ruck. Tracking this