23 assistant-professor-computer-science-data-"https:"-"https:" Fellowship positions at Monash University in Australia
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Research Fellow, Data Science in Health Promotion Job No.: 687776 Location: Turning Point, 110 Church Street Richmond Employment Type: Part-time, fraction (0.6) Duration: 12-month fixed-term
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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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-RC research and registry activities — from protocol development, qualitative research and data interpretation to manuscript preparation and grant submissions. If you are ready to help shape research
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into the minimum mass of neutron stars formed during supernova explosions. For more information, please visit our website: www.monash.edu/science/news-events/news/2025/breakthrough-simulations-shed-light-on
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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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clinical trials and program development Supervise research students and assist with mentoring junior researchers Engage in collaborative, interdisciplinary research that drives meaningful clinical outcomes
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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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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. An exciting opportunity is available for a Research Fellow to support the design and delivery of this complex program, ensuring rigorous methodology, data integration and high-quality outputs. The role includes