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of photonic single protein sensors to observe, control and understand protein behaviour, advancing knowledge at the interface of quantum science and the life sciences. As a Level B Research Fellow, you will
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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this new technology useful in basic science, health & rehabilitation, and sport performance. The overarching goal is to design and test a smart garment embedded with these sensors, for advancement
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new in situ temperature observations Moana sensors deployed on fishing gear (to 0-1000m depth) in conjunction with other extant observations where available (e.g glider, drifter, Argo, satellite remote
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
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digital techniques for advanced process control, including but not limited to: AI-enabled smart sensors Digital twinning Remote Operations and Security Novel communications technologies for mobile assets
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience