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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
and machine learning, galaxy formation and simulations, integral field unit observations. Applications are encouraged from researchers who wish to undertake novel and collaborative research as part of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
spectroscopy and stellar abundances, stellar structure and stellar evolution, chemical evolution modelling, large survey data, statistics and machine learning, galaxy formation and simulations, integral field
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needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and
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needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and
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foundation 54 years ago, we have aspired to be a different type of university. Over the years, we’ve grown to become the centre of a vibrant local and global community. Connect with us today and learn more
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, allowing you to engage collaboratively with internal and external stakeholders. You will also have: A PhD in AI, Machine Learning, Natural Language Processing, or closely related discipline; Excellent
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collaboratively with internal and external stakeholders. You will also have: A PhD in AI, Machine Learning, Natural Language Processing, or closely related discipline; Excellent ability in analysing data, problem
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of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose of providing actionable information. Analysis
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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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flow cytometry Excellent communication and organizational skills Awareness of confidentiality and privacy principles Computer literacy with Microsoft Office and a willingness to learn new software