26 associate-professor-computer-science "https:" "https:" "https:" Fellowship research jobs at Monash University in Australia
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collaborative networks The Opportunity Monash University is seeking a Research Fellow to join the Department of Biochemistry and Molecular Biology within the Monash Biomedicine Discovery Institute at the Clayton
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people who discover them The Opportunity The Faculty of Engineering, Department of Mechanical and Aerospace Engineering, is seeking an exceptional Research Fellow – Acoustic Sensing to join an innovative
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relationships in organic semiconductor materials, working closely with Professor Chris McNeill in the Department of Materials Science and Engineering, Dr. Amelia Liu in the School of Physics & Astronomy as
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the University. Enquiries: Prof. Peter Scammells, Professor of Medicinal Chemistry and Associate Dean Research, +61 3 (9903 9542) Position Description: Research Fellow Applications Close: Wednesday 4 February 2026
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Science to contribute to groundbreaking clinical research in neurorehabilitation for people with stroke or brain injury. Based at The Alfred Centre, you’ll join one of Australia’s largest and most dynamic
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Research Fellow - Organ-on-chip Technology Job No.: 692000 Location: Parkville Campus and Melbourne Centre for Nanofabrication in Clayton Employment Type: Full-time Duration: 2 year fixed-term
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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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Future Fund–supported program (2026–2030) to strengthen evidence on addiction, self-harm and mental ill health. The multidisciplinary study will analyse 20 years of binational cohort and cross-sectional
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The Opportunity Join Our Research Team! This is not a typical postdoctoral role. This is your chance to join a newly established, high-impact laboratory led by Associate Professor Fabrice Jaffré, a globally
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable