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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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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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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report
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, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related
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well as alongside two PhD students also funded to work on the project. The research will be supported by Monash’s world-class research infrastructure in electron microscopy. This includes the Monash Centre
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discover them The Opportunity The Faculty of Information Technology is seeking a Research Fellow to advance cutting‑edge research in neuro‑symbolic artificial intelligence within the Department of Data
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preparing ethics applications, to engaging with stakeholders and collecting data through surveys and naturalistic driving studies, your work will be integral to shaping safer communities. What you’ll do
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of the Australian Higher Education System,” which aims to analyse the Australian tertiary system using linked ABS and Department of Education data to inform policy on graduate earnings, peer effects, and field
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energy, water, food, and waste. You will play a key role in the project’s conceptual development, undertake qualitative data collection and analysis, and co-author publications that support environmental
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treatment of disease. As a postdoctoral researcher, you will design and conduct experiments, analyse complex data, and contribute to high quality research outputs including publications and presentations. You