24 parallel-computing-numerical-methods "Multiple" Fellowship positions at Monash University
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Research Fellow - CONNECT Consumer Program - Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) Job No.: 687556 Location: 553 St Kilda Road, Melbourne Employment Type: Part-time
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econometrics and machine learning, is highly desirable. You are well-organised and capable of managing multiple tasks to meet deadlines, with excellent written and verbal communication skills for producing clear
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of Australia’s leading pharmaceutical research institutes and contribute to a globally significant research initiative. The Monash Institute of Pharmaceutical Sciences (MIPS) is seeking multiple Level A Research
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Level B plus 17% superannuation • Shape clinical guidelines using innovative living evidence synthesis methods • Work with Cochrane Australia and the Australian Living Evidence Collaboration • Contribute
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Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets
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research experience. You bring strong analytical and problem-solving skills, a developing publication record, and the ability to manage multiple research priorities effectively. You enjoy working
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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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neuroscience research environments, embedded within the Alfred Research Alliance and closely connected to leading clinical services. About the Role As a key member of our neurorehabilitation research program
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spectroscopic methods for studying plant photosynthesis. If you would like to shape the future of plant stress biology with cutting‑edge research, then apply today! About Monash University At Monash , work feels
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refereed journal publications and experience preparing research proposals and manuscripts. You will bring demonstrated expertise in social science mixed methods (qualitative and quantitative) and statistical