16 parallel-computing-numerical-methods-"https:" Fellowship positions at Monash University
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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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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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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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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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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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of Physics and Astronomy. This position offers an exceptional opportunity to conduct high quality research in the development and application of new transmission electron microscopy methods (STEM and/or TEM
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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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. This position offers an exceptional opportunity to conduct high quality research in the development of new transmission electron microscopy methods (STEM and/or TEM) and their application to solve important
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academic publication and interdisciplinary collaboration. You will have experience in qualitative and/or quantitative research methods, and be familiar with international policy frameworks such as the
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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