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School of Electrical Engineering and Computer Science Part-time (50%), fixed-term position for up to 3 years Base salary will be in the range $80,448.78 - $107,104.10 + 17% Superannuation (Academic
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Although not required to apply, support and co-investment from a university or institute partner contributes to 25% of the application selection criteria. Any form of support and co-investment should be detailed in the application form. Type of assistance may include monetary or in-kind...
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(Academic Level C) Based at our St Lucia campus About This Opportunity This is an exciting opportunity for a Senior Research Platform Fellow - Deputy Director for the National Quantum Computing Testbed
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
, along with experience using high-performance computing environments, is required, and experience using structure prediction or AI methods is desirable. Working at ANU This is an opportunity to work with a
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independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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Research Collaboration (MQ Collab), a three-year research program focused on advancing Road Transport Psychology and Road Transport Safe Systems. With over 30 staff and postgraduate scholars, the key areas
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they will need in an increasingly disrupted and challenged world. The Research Fellow will be located in the MAIC-QUT Road Safety Research Collaboration (MQ Collab), a three-year research program focused
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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Research Fellow - Quantum Control and Quantum Computing Job No.: 667644 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $114,951 - $136,505
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-reviewed journal articles. The successful applicant will have two key attributes: Strong track record in Computational Fluid Dynamics and application of numerical modelling methods, and A track record in