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Campus, North Ryde About the Role This position is part of the John Templeton Foundation's project Cognition All the Way Up. The appointee will work with Dr Bourrat (Philosophy), Prof. Barron (Biological
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, 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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characterisation including NMR, SEC, high-resolution electron microscopy, X-ray scattering (SAXS and WAXS), AFM, XPS and other characterisation methods. Evidence of publications in reputed refereed journals and
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of Computing, Engineering and Mathematical Sciences), reporting to Dr Rebecca Chisholm. They will work closely with other project investigators based at La Trobe (A/Prof Joel Miller and A/Prof Hien Nguyen), The
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economy ecosystem” The sub-projects are ‘Building public trust in upcycling’ and ‘Designing upcycling business ecosystems’. You will conduct independent and collaborative research with Prof Jo Lindsay and
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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world transitions to more sustainable energy, increased metal demand combined with consumer desires for a reduced environmental footprint, means novel exploration techniques are being investigated. A newly
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 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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. Ability to motivate research (importance/significance) 2. Potential for academic impact 3. Potential for policy impact 4. Innovation in method 5. Presentation ability/communication Each
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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