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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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-world datasets from different databases & platforms (AWS, SQL, Azure) Using energy systems data analysis and modelling and the development of open-source tools e.g. in Python, R, Matlab or Excel Creating
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, scalable numerical algorithms for extracting the evolution model of the relevant dynamical skeleton, quantifying associated uncertainties. We will develop mathematical theory underpinning the novel
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intensive and has a strong tradition of research-led teaching. The School offers undergraduate majors in computer science, information systems, data science and software development within its flagship
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
/lanfear-lab-mutation-molecular-evolution-and-phylogenetics The Person You will need to have a detailed understanding of cutting-edge methods and algorithms in maximum-likelihood phylogenetic inference, as
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discovery. While deep generative models have shown promise in proposing novel molecular structures, they typically require massive, cleanly labelled datasets to train effectively. In practice, acquiring high
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these issues is critical for building trustworthy multimodal AI systems. Research Objectives The goal of this PhD project is to develop scalable Bayesian uncertainty estimation frameworks for single- and multi
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School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree programs