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Field
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learning approaches to enable multi-site collaboration while preserving patient privacy. This ensures more generalized and reliable reconstruction models that can adapt to diverse data distributions
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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domains for applications to the mining industry and beyond. We have an opportunity for a passionate and skilled research scientist to design and develop cutting-edge algorithms and fused sensor systems
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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare
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control: algorithm development for decision-making under constraints. Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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control: algorithm development for decision-making under constraints. Required skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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expertise by developing an e-commerce website prototype with the developed algorithm embedded within the prototype, ensuring its full functionality and integration. Reports to: Project Lead Project name
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Are you passionate about advancing technologies that make mining operations safer, smarter, and more sustainable? Join CSIRO’s Distributed Mine Sensing Team in the Sustainable Mining Technologies
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, licensing, and standards for secure development, as well as offering advisory services to support a distributed automation delivery model at UNSW. The role will support the direct delivery of complex
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well as assist with Teaching Lab coordination and timetabling and coordinate the purchase, receipt, and distribution of laboratory-related deliveries to the School. This role reports to the Laboratory Manager and