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colleagues and research operations, and build partnerships with industry, government and community stakeholders. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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data-driven modelling methods for renewable energy integration. Research Outputs and Funding: Publish high-quality research outcomes, contribute to milestone reports, collaborate on competitive research
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of Honours and Higher Degree by Research students, providing guidance in experimental design, laboratory techniques and data interpretation, while helping to foster a collaborative and safe laboratory
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background checks required for the role, as determined by the University. Enquiries: Dr. Naim Rastgoo, Senior Research Fellow, Department of Data Science and Artificial Intelligence, [email protected]
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of relevant pre-employment checks, including Working with Children Checks and candidate gender-based violence declarations. Any information provided will be treated confidentially and assessed only where
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. Current research directions include AI- and data-driven discovery of multielement catalysts, amorphous catalyst structure-activity relationships, water and seawater electrolysis, and integrated solar
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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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. Current research directions include AI- and data-driven discovery of multielement catalysts, amorphous catalyst structure–activity relationships, water and seawater electrolysis, and integrated solar
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platform data, and contributing to high-quality academic and policy outputs. The role provides an opportunity to work at the intersection of economics, agricultural markets and digital technology, with
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data contribute to the preparation of research publications, reports and presentations support participant recruitment, assessment and retention activities collaborate with academic, clinical and