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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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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
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and specimen preparation instruments (SEM, cryo-FIB-SEM, ultramicrotomy, etc). Monash researchers can also access a range of high-performance computing infrastructure. Applicants must hold a PhD (or
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hold a PhD in chemical biology or a related life sciences discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete listing
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. The successful candidate will hold a PhD in organic or medicinal chemistry discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete
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Participate in seminars, workshops, and conferences related to combinatorics and graph theory The successful candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in
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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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activities. The successful candidate will have: A PhD qualification in medicinal or organic chemistry Experience in the synthesis of small molecules An understanding of pharmacology and/or drug development
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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