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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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opportunity where you will be expected to support your client group to achieve business objectives through the provision of tailored and business-focused financial services. You will be a team player who can
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loading will be offered to the successful candidate. About you We’re seeking someone with a strong academic track record in AI, machine learning, or data science, and a collaborative, inclusive leadership
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postgraduate supervision is preferred, particularly for senior roles. For candidates that demonstrate a quality track record of research, in addition to teaching, there may be opportunities to engage in
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innovation and development. For candidates that demonstrate a quality track record of research, in addition to teaching, there may be opportunities to engage in independent and collaborative research in
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and associated legal agreements A track record in negotiating commercial and legal agreements, particularly IP licences, with the ability to lead or support deal structuring and execution Deep domain
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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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culture fosters excellence, with strong research support, industry partnerships, and a proven track record of publishing in top journals. We are seeking to appoint a Lecturer (Level B) or Senior Lecturer
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for the prediction task, such as predicting the bioassay of a given chemical network. One of the approaches that will be considered will be the Bayesian information-theoretic Minimum Message Length (MML) principle
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back at least as far as 1954 (Dowe, 2008a, sec. 1, pp549-550). Discussion of how to do this using the Bayesian information-theoretic minimum message length (MML) approach (Wallace and Boulton, 1968