25 parallel-computing-numerical-methods "Multiple" Fellowship positions at Monash University
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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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the project’s cross-cutting computational and bioanalytical objectives and will involve developing a data base to record and access clinical data from a wide variety of animal species and also to develop a
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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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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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. 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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research experience. You bring strong analytical and problem-solving skills, a developing publication record, and the ability to manage multiple research priorities effectively. You enjoy working
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- and the people who discover them The Opportunity Monash University is seeking a Research Fellow to join the OPTIMAL Centre of Research Excellence, a five-year NHMRC funded program led by the Transfusion
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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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refereed journal publications and experience preparing research proposals and manuscripts. You will bring demonstrated expertise in social science mixed methods (qualitative and quantitative) and statistical