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Institutions are invited to apply for the 2025-26 ACSPRI Fellowship Program. Valued at $25,000, the fellowship will help PhD students to achieve their career goals, by providing direct financial support and
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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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- 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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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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. 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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-quality, competitive research and contribute to this research program. Demonstrate excellent project management skills. Demonstrate excellent communication skills, contribute to publications and
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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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research in Africa, Asia Pacific or Latin America. Fluency in another language is highly regarded. The successful candidate may be required to complete a number of pre-employment checks, including: right
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Australian National University | Canberra, Australian Capital Territory | Australia | about 15 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