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information. About New Norcia ground station (WA) New Norcia Deep Space Tracking Facility has been in operation since 2003 and is one of the three stations in the European Space Agency’s Estrack network
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Engineering School of Computer Science School of Electrical and Computer Engineering All positions are full-time continuing (tenure-track), teaching and research roles based in Sydney, however flexible working
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(tenure-track), teaching and research roles based in Sydney. Successful applicants will join a group of enthusiastic, highly research-active and collegiate academics who deliver a world-class education to
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postgraduate qualification in one of these fields plus relevant research experience. Demonstrated track record in epidemiological research with outcomes of high quality and high impact with clear evidence of
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of about 15 researchers who are being assembled to work together on tracking and predicting the future of the East Antarctic Ice Sheet. The successful candidate will bring their expertise in environmental
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nodes and chemical bonds as edges. Analysis these networks are important as they may provide AI-based approaches for drug discovery. This project will focus on representing and inferring chemical or
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning
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and Python, and experience with Bayesian modelling and time series analysis. A track record of research outputs, including publications or presentations at national or international conferences. About
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful