10 sensor-algorithm-"Prof" Postdoctoral positions at University of Sydney in Australia
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will involve identifying, sourcing, and installing various sensing equipment in Rux’s in micropilot plant. The data from these sensors will be integrated into an existing platform composed of open-source
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be involved in interdisciplinary research at the interface of biomaterials engineering, regenerative medicine, and biosensors, under the supervision of Prof. Hala Zreiqat and A/Prof Khoon Lim. This
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, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities. Supervisors: A/Prof Pierre Rognon, Prof David Airey, Dr Benjy Marks Institution: SciGEM, School
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be working under the supervision of A/Prof Khoon Lim . Work will be conducted in the Charles Perkins Centre at the University of Sydney, a multidisciplinary research centre which aims to generate
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and materials science to work within a research group led by Prof. Antonio Tricoli at the University of Sydney. The team has advanced research on materials science, nanotechnology, functional materials
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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
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techniques based on 3D sensor perception and deep learning to estimate forest tree structure from high-resolution drone-based LiDAR point clouds and imagery contribute to a world-leading large-scale forest
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Researcher in Perovskite Solar Cell Research (Level A) to work within a research group led by Prof. Anita Ho-Baillie – John Hooke Chair of Nanoscience based at the Sydney Nano Hub and the School of Physics
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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in biological studies. This project is funded by a grant from the Human