17 computer-"https:"-"https:"-"Linnaeus-University" 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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them The Opportunity Reporting to program co-leads Associate Professor David Slucki and Dr Susan Carland, the focus of this role will be to provide dedicated academic research support to the Monash
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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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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 project’s cross-cutting computational and bioanalytical objectives and will involve developing a data base to record and access clinical data from a wide variety of animal species and also to develop a
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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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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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- and the people who discover them The Opportunity Monash University is seeking a Research Fellow to join the OPTIMAL Centre of Research Excellence, a five-year NHMRC funded program led by the Transfusion
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. The successful candidate will have: Expertise in astrophysical radiative transfer and computational fluid dynamics Demonstrated expertise in the theory and phenomenology of supernova explosions Experience in
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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