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working with large datasets, including spatial information, hydrologic data and survey records. Skills and Experience To be considered for this position, you will have: completed a PhD or equivalent
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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to apply Website https://www.timeshighereducation.com/unijobs/listing/403836/research-fellow-opt… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteLA TROBE
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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analytical skills in modelling time trends and prevalence data biostatistics for clinical trials and cohort studies experience working with large, multi-wave datasets (e.g., ABS, AIHW, HILDA) reputation at a
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-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts of LGBTQ+ community-controlled
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designing and executing experimental workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage
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Computer Society–accredited programs in areas such as computer science, cyber security, software engineering, artificial intelligence, and data analytics. Guided by curricula from the IEEE Computer Society
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for excellence in Actuarial Studies, risk management, data analytics, and superannuation and pensions. We host one of the largest actuarial programs globally and are ranked #1 worldwide for research in risk
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, please contact Dani, v ia talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers . We are a Circle Back Initiative Employer – we commit