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to have strong mathematical and programming skills (e.g. Python, C++), knowledge of computer vision, data mining and/or robotics tools (e.g. ROS/ROS2, OpenCV, scikit-learn, tensorflow, pytorch) and be able
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A postdoctoral position on exascale atomistic simulations, AI/machine learning and data analysis of ferroelectric devices is available immediately at the Center for Nanoscale Materials (CNM
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- $155,696 per annum plus an employer contribution of 17% superannuation applies. Fixed term, full-time position for 3 years. To unlock the great potential of hydrogen as a future fuel, a critical challenge is
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wetland infill and land reclamation. Data generated will contribute to building the evidence base through generating new empirical knowledge of where sand is being mined and how it moves through
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combination of robotics-assisted experiments and data mining in our 30 years of legacy data regarding the safety, metabolomics, and physiology of the strains. The UPCYFUN project is a unique opportunity for you
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/CCUS, and geothermal energy. The researcher will also lead efforts in data mining, market research, and modeling to assess value chains and perform financial analyses, including Net Present Value (NPV
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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, which are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a top priority and paramount for green
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are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a top priority and paramount for green and sustainable
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Machine Learning, Graph Modeling and Mining. Similar or related fields will also be considered, however programming fluency is required. The selected candidate must hold a PhD at the time of appointment