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that also overlap with security (e.g., algorithms in the field, cryptography) are encouraged to apply. As per CSRankings.org, WSU is ranked in the Top 20 in design automation, Top 50 in cryptography
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working on extending and maintaining the National Data Platform (https://nationaldataplatform.org/ ) to include data usage search features pioneered by the democratizing data project (https
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maintaining the DataSpaces (https://dataspaces.sci.utah.edu/download/ ) project – a high-performance distributed data management framework designed for in-memory data staging and coordination in scientific
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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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-edge AI ready data management. We’re working on extending and maintaining the National Data Platform (https://nationaldataplatform.org/ ) and advanced data management software in the Science Data
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utility for ongoing analysis. Understand key data sources and variations in these across and within countries. Apply computational and statistical tools and algorithms for the preprocessing, analysis, and
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, including in Python, with good coding habits; experience in NEURON, COMSOL, other finite element modeling software, and / or git would be an asset; experience in optimization algorithms would be an asset
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with research interests in FinTech (including cryptography and blockchain, AI, data visualization, analytics, business modeling, process automation, algorithmic trading, technology forecasting and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales