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in sequential decision-making approaches such as Markov Decision Processes, reinforcement learning, deep learning, or adaptive management. You have a strong track record of research publications and
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Energy Institute’s external relations and institutional priorities. As the successful candidate, you will have in-depth knowledge and experience of the Australian energy sector, and a proven track record
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used will the information-theoretic Bayesian minimum message length (MML) principle. Student cohort PhD, possibly Master’s (Minor Thesis) or Honours URLs/references Chen, Li and Gao, Jiti and Vahid
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techniques for annotation, active learning (based on either deep learning or Bayesian learning), semi-supervised learning, transfer learning, imitation learning, etc., aiming to ensure the data and models
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collaborative mindset. A strong track record of publication in top-tier journals and proven ability to attract competitive research funding. A passion for mentoring emerging researchers and contributing to a
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analytical and manuscript preparation skills with a track record of refereed publications, the ability to solve complex problems, and excellent planning, organisational, and communication skills. You will
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record of research and teaching. Proven leadership in a research-intensive academic or health setting. Key Competencies Internationally recognised research achievements, with a strong track record in
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with an international reputation in research and education leadership. Key Competencies Demonstrated success leading multidisciplinary academic or clinical institutions. Proven track record of securing
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related discipline. You will have a proven track record of high-quality research and scholarly publications, along with demonstrated ability to deliver engaging lectures, workshops, and seminars, and to
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, psychology, neuroscience or a related discipline A strong research track record relative to opportunity, including publications and grant activity Advanced skills in statistical analysis and data