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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data
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The AR Riddle Grants were established in memory of the late Mr Arthur Raymond Riddle B.A., M.Sc., to assist students undertaking an Honours or Postgraduate Coursework program in semester 2, 2025
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of Agriculture, Food & Wine, focusing on smart agriculture and Ag-Tech solutions. This position will lead the development and application of advanced agricultural technologies that improve the sustainability
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teaching focused Lecturer to assist in delivering the Anaesthetics and Recovery Nursing program. To be successful you will need: Doctoral or masters qualification or equivalent accreditation and standing and
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. Applicants will benefit from the University’s commitment to diversity, flexible work arrangements, and research excellence, as well as opportunities to apply for national grants and lead high-impact projects
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opportunity Experience in machine learning and deep learning Proficiency in one or more high-level programming languages such as Python, Java, or R. Strong commitment to interdisciplinary research and a track
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Office skills. Skills in data manipulation tools and/or programming languages such as Cognos, Power BI/Power Query, PySpark, SQL and R Desirable: Experience with data integration and ETL tools such as
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ambitious research program to investigate the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago
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an essential role in developing new grant applications, assist with the supervision of postgraduate students and support the preparation of publications arising from these activities. To be successful you will