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Academic Opportunities Available for Indigenous Australians - Monash Faculty of Arts Job No.: 679445 Location: Various campuses Employment Type: Full-time or Part-time available Duration: Continuing
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Lecturer Location: Clayton or Peninsula Campus Employment Type: Part-time - Varied Fractions 0.6 - 0.8 Duration: Varied end dates Remuneration: Pro-rata of $118,974 - $141,283 pa Level B (plus 17
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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(plus 17% employer superannuation) from 1 June 2025 Amplify your impact as a Rheumatology Research Assistant at Monash Thrive in a supportive and collaborative research community Work with brilliant minds
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
an important part of an ARC-funded project Mapping Australian Homemade, Amateur & Do-it-Yourself Cultural Economies conducted by Professor Paul Long, Dr. Delvin Varghese, Associate Professor Shane Homan, Dr Ali
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attitudes, gender biases, and behaviors influence student performance and interest in Science, Technology, Engineering, and Mathematics (STEM) subjects and careers. Additionally, the project will explore how
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environment, working closely with the Principal Investigator and fellow researchers to drive exciting scientific projects forward. This is an opportunity to work with groundbreaking research and make a real
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Research Fellow - Future Fellowship Job No.: 679500 Location: Caulfield campus Employment Type: Part-time, fraction (0.8) Duration: 4-year fixed-term appointment Remuneration: Pro-rata of $118,974
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adolescents to negotiate critical risk factors that emerge in the adolescent years to prevent the development of problem behaviours and poor mental health. This project will use Australian, US (Washington) and
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intelligence techniques (e.g., Deep Learning, Statistics, ML, Optimization) in order to (1) understand the nature of critical software defects like vulnerabilities; (2) predict; (3) highlight vulnerable code; (4