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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement
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science, artificial intelligence, data science, or related field that was completed within three years A track record of innovation in computational science and engineering, as demonstrated with a strong
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the project—representing a range of traditional, hybrid, and tourism-based blue economies. In addition, this position will help co-design a workshop at the CoP annual meeting designed to share results, foster
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three years of relevant research experience. These Fellowships aim to develop the next generation of future leaders of the innovation system. Join CSIRO and the Australian Government Department
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skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later
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the area of chemical engineering, thermal systems, and mechanical engineering. Conduct design and improvement of the existing pyrolysis system, Perform experiments, data analysis, and technical reporting
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postdoctoral fellow. The ideal candidate will have research experience and interests in environmental economics and empirical market design (broadly defined). The position will be under the supervision of Anna
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or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical
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, to Climate Change and all areas of ASEAN Law and Policy. Preference will be accorded to candidates aspiring to pursue an academic career, as the programme is specifically designed to support such aspirations
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-impact international journals and present at regional and global conferences. Support the design and evaluation of AI-enabled behavioural health interventions, dashboards, or decision-support tools. Ensure