19 cloud-computing-phd-student Fellowship positions at Monash University in Australia
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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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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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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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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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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a Research Fellow who will contribute
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research outputs, mentoring staff and students, and contributing to competitive grant and publication activity. Your Key Responsibilities As a Research Fellow / Laboratory Manager, you will: Conduct
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and conduct experiments, operate specialised equipment, develop and implement experimental procedures, and support project delivery through effective scheduling and computational analysis. This role
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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities