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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 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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, a short cover letter and responses to the Key Selection Criteria. For a confidential discussion regarding this role, please contact Prof Matthew Barnett (Deakin Distinguished Professor
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 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
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with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development. The greater benefits of joining
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for designing, implementing, and testing cross-communication layer cybersecurity methods for critical surveillance, as well as mentoring higher-degree research candidates. While a PhD degree is not required
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internationally recognised for its expertise in computational fluid dynamics (CFD), multiphase and multiphysics flow, and nonlinear solid mechanics, supported by access to world-class high-performance computing
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
to build positive, respectful relationships in a cross-disciplinary environment are also required. For further information please contact, Prof. Danielle Way,E: Danielle.Way@anu.edu.au The University
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. For further information please contact, Prof. Danielle Way, E: Danielle.Way@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on
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, financial, or geographical barriers. As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities
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individual to work on an exciting modelling and simulation project, involving extensively applied work at the intersection of software engineering research and modelling and simulation, with real-world testing