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national level as being influential in expanding the knowledge of your relevant discipline. As the Research Fellow, you are expected to plan, develop and engage in high quality research projects
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programs, ensuring a rigorous foundation in quantitative disciplines while maintaining strong industry and research partnerships. About The Research Fellow Opportunity This is an exciting opportunity for a
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Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
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holds Bachelors’ degrees in English literature (with Honours) (1961), and musicology (with Honours) (1970) from The University of Adelaide, and a PhD from the same university (1979). Her work includes the
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biology and biochemistry. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience. A strong work ethic, and the ability to work well independently, and
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Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours 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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. The School is one of the largest and most prestigious schools Australia for thriving research programs and contribution to education excellence in Aerospace, Mechanical Engineering, Advanced Manufacturing
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human