23 postdoctoral-deep-learning-vision Postdoctoral positions at University of Sydney in Australia
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. Our mission is to develop life-changing treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. Learn more about the Snow Vision Accelerator: https
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respond to ecological ideas in ways that can provoke social change. Professor Lim is excited to be inviting applications for a Postdoctoral Research Associate (Music, Technologies, Multispecies Justice
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Full time fixed term until 31 May 2027 (will consider part time) Advance your research career in metagenomics Base Salary from $89,831 + 17% superannuation About the opportunity We are seeking a highly motivated Research Associate in Metagenomics to join the University of Sydney Infectious...
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at the University of Sydney is currently seeking a Postdoctoral Research Associate (Physics) to work within the Dynamics and Neural Systems Group, led by A/Prof Ben Fulcher, on developing novel methods to analyze non
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coral reef ecosystem responses Base Salary $109,263 - $121,054 + 17% superannuation About the opportunity We are seeking to appoint a Postdoctoral Research Associate (PDRA) to join a project researching
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Opportunity to join Associate Professor Khoon Lim as a Postdoctoral Research Associate Full time, fixed term for 12 months Base Salary from $113,400 + 17% superannuation About the opportunity
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opportunity The School of Geosciences at the University of Sydney is seeking a Postdoctoral Research Associate – EarthBank. As part of the establishment of a new AuScope EarthBank Project node
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Australia Base Salary Level A, $109,263- $116,916 p.a + 17% Superannuation About the opportunity The University of Sydney’s School of Physics is welcoming applicants for a Postdoctoral Research Associate in
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is currently seeking a Postdoctoral Research Associate in the development and application of hybrid numerical-asymptotic methods to nonlinear systems. Your key responsibilities will be to: work on an
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning