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Research Fellow in AI‑Driven Community Safety Research Job No.: 685050 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $83,280 - $113,025 pa
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clinical care and treatment strategies. The position will play a key role in sharing research findings through manuscript preparation, publication in peer-reviewed journals and presentations at international
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-care data is used to refine clinical practice and improve survival worldwide. This position offers the opportunity to: Develop and implement advanced data pipelines and predictive models using
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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join our Injury Analysis and Data team. In this pivotal role, you will contribute to cutting-edge research that informs policy and practice applying safety science to prevent injuries in areas such as
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, fabricate structures at the Melbourne Centre for Nanofabrication, and measure their optical and electrical properties. The successful candidate will have a PhD in Physics, Materials Engineering, or a closely
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and contribute to the preparation of manuscripts stemming from your work. If you have a PhD in organic chemistry, ideally with a background in protein chemistry or chemical biology you might be
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projects within the Korean Studies discipline. This position supports the strategic goals of the Monash University Korean Studies Research Hub by actively engaging in scholarly inquiry and enhancing
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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Proficiency in analytics, AI, and modern data science tools Excellent problem-solving, project coordination and communication skills A PhD or equivalent research experience (preferred) Experience with clinical