25 assistant-professor-computer-"https:" "https:" "https:" "https:" "University of St" "St" Fellowship positions at Monash University
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brain health. We are seeking a highly motivated Research Fellow to join a multidisciplinary and multi-institutional research program within the CDCO Academic Node. This role focuses on evaluating novel
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Research Fellow, your main responsibility will be to drive the laboratory‑based chemistry program, delivering high‑quality experimental work, contributing to compound design decisions, and ensuring project
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multi-organ-on-a-chip platform. Leveraging advanced microfluidics, live-cell imaging, and integrated biosensing technologies, you will help generate multi-parametric insights into barrier integrity
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campus. This Level A research-only position will contribute to the research program of the Signalling Network Laboratory, undertaking projects focused on specific members of the protein kinase superfamily
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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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and conduct experiments, operate specialised equipment, develop and implement experimental procedures, and support project delivery through effective scheduling and computational analysis. This role
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of anti-malarial agents has been a significant research area within the Faculty. Reporting to Professor Peter Scammells, the focus of the study will be the development of small molecule enzyme inhibitors
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Fellows to join a major program (>$20M) funded by the Advanced Research Projects Agency for Health (ARPA-H). This ambitious program focuses on lymphatic pathophysiology and the development of innovative
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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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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