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to fundamental research in forest imaging and 3D deep learning Base Salary Level A Step 6 – 8 $113,400 - $121,054 p.a + 17% superannuation About the opportunity We are currently seeking a Postdoctoral Research
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
- $121,054 + 17% superannuation About the opportunity The School of Civil Engineering at The University of Sydney is recruiting for a Postdoctoral Research Associate in Global Environment Modelling of Soil
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reactors and predicting their degradation over time. We are seeking a Postdoctoral Research Associate / Senior Research Associate to join the team and contribute to the modelling part of this initiative. In
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) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the Postdoctoral Research Associate - Coral Reef Systems on the Edge, your key responsibilities will be
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. This role is part of a project recently funded by the Australian Research Council (ARC) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the
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) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the Postdoctoral Research Associate – Coral Reef Systems on the Edge , your key responsibilities will
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of FPGA-based accelerators, high-level synthesis for FPGA design (HLS), quantisation of deep neural networks, large language models (LLMs). strong problem solving and analytical skills Sponsorship
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synthesis for FPGA design (HLS), quantisation of deep neural networks, large language models (LLMs). strong problem solving and analytical skills Sponsorship / work rights for Australia Work Rights: you must
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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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