25 postdoc-computational-fluid-dynamics Fellowship research jobs at Monash University in Australia
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Research Fellow - Environmental Informatics Hub Job No.: 675993 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level
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Research Fellow, Systems and Computational Neuroscience Job No.: 676758 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $80,464 - $109,203
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quantum computing experience. Simulate complex quantum processes on quantum computers to uncover exotic dynamical phenomena. Co-supervise students and provide guidance in programming on quantum computers
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program. You will develop and implement cutting-edge computational approaches to accelerate the identification and optimization of novel drug candidates, including molecular dynamics, protein modelling
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passionate and dedicated Post-doctoral Research Fellow for a Level B research-only position. This role is part of an exciting project titled "The Dynamics of Agricultural Innovation in North India." As a
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discover them The Opportunity The Emerging Technologies Research Lab at Monash University is seeking a dynamic and talented Research Fellow to join the Australian Research Council Future Fellowship project
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
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Factors theory and application in health systems. About Monash University Join Monash University’s dynamic research environment at the Alfred precinct, where ground-breaking translational medicine meets
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research team, with strong interactions with other Australian and Overseas research groups and institutions. The Research Fellow will focus on the development of highly advanced and sophisticated dynamic
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reshaping Australia’s weather. The Centre provides a dynamic environment for researchers, students, and staff to grow their careers and contribute to evidence-based decision-making for future weather