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and machine learning Deep understanding and rich hand-on experience in deep networks Good communication skills in English Background knowledge in computer vision and/or point cloud processing. Prior
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, digital currencies, fraud detection with data science and machine learning, create prediction models using structured and unstructured data, and apply the techniques to solve the real-world problems in
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new privacy enhancing technologies, privacy sensitive machine learning to personalise automatic online safety responses and immersive simulation environments to explore how safety and can be compromised
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and track record for related R&D. High desire for technological exploration and achievement. Background knowledge in signal representation/processing, 3D visual data, and data-driven and machine
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individually and in an integrative manner using analytic techniques that range from traditional statistics to novel statistical, machine learning and network/systems biology approaches. Initial data queries will
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 10 hours ago
for soil health mapping. · Collaborate with our interdisciplinary team to develop machine learning approaches for mapping and modeling statewide soil health in Missouri. · Conduct literature
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analysis, probabilistic modeling for deterioration processes, and decision-making under uncertainties is highly desirable. Experience in applying machine learning and performing Bayesian updating is highly
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of interest. Prior findings suggest that a skill-weighted ensemble mean from multiple reanalysis datasets outperforms a single best reanalysis dataset. Machine learning approaches will be explored, as well, and
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history, or LGBTQ+ history in the Americas. The postdoc will teach a lower-level and an upper-level course each year that engages with public history topics and methods (involving, for instance, monuments
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), coastal hazard assessment, model coupling, model calibration, and validation. Experience with machine learning and statistical/probabilistic analysis. Strong programming/scripting capabilities and high