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, handling unstructured text data, structured records, and extracting meaningful information from clinical notes, discharge summaries, and other sources. Experience in clinical text mining and image patterns
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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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performed by graduate students, and mining existing data sets that will contribute to the body of knowledge in asphalt materials. • Write technical reports that summarize multi-faceted research projects
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the cost of storage at scale, without significant loss. The most economically viable options for large-scale hydrogen storage are underground, within solution-mined or engineered caverns and depleted
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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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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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weather instrumentation data analysis (lidar, radar, weather station, radiometer, sonde, cameras) Experience with mining and cleaning “big” observational data and/or online databases Experience with
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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 engaging
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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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are internationally recognized for our GDPR compliant data hosting solutions and data management systems. We develop innovative methodologies for data mining, federated data analysis, and data FAIRification. We