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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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. Excellent written and verbal communication skills are essential, as is a collegiate approach to working with others. You will also have advanced computer skills, including experience with Microsoft Word
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supervision A collaborative mindset, with the confidence to contribute ideas and help shape a growing lab environment You may currently be a postdoc looking for a step-up role where you can have genuine
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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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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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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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people who discover them The Opportunity Join a dynamic research program funded by the Australian Economic Accelerator (AEA) and the Australian Research Council (ARC) to advance electrochemical biosensors
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of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Louise Devenish, Graduate Research Program Director | Percussion Coordinator, +61 3 9905
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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