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external partnerships with industry, government and professional bodies to strengthen engagement and impact. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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, sample preparation, and data handling to ensure consistency and high analytical quality. Conduct quality checks on MLA outputs, including mineral maps, particle classifications, and artefact identification
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral
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. This position will be based within the Leeder Centre for Health Policy, Economics and Data, known for high quality health policy research, analysis, advice and education. We focus on improving public health
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duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please contact Professor Mark Walker
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their affiliates submitted on or after 1st January 2024, with allowances for career interruption. strong track record relative to opportunity (thesis, publications, preprints, data/products, or equivalent research
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initiatives. Key responsibilities include contributing to ethics applications, conducting literature reviews, assisting with participant recruitment, engaging in qualitative and/or quantitative data collection
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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channels and outlets. Undertake discipline-appropriate research activities, e.g. underwater fieldwork surveys, literature reviews, data gathering and/or recording of results using appropriate research