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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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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 5 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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Professor Positions to begin on or after July 1, 2026. We seek scholars with expertise in (1) Algorithms and Complexity Theory and (2) Bioinformatics and Computational Biology. We also welcome applications
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, the assistant will preprocess raw omics data, conduct exploratory and multivariate analyses (e.g., PCA, CCA), and iterate on new algorithms for mutant detection and pathway discovery. The role is ideal for a
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algorithms, programming languages, and libraries. Ability to understand and translate researchers’ scientific goals into computational requirements. Ability to identify and gain expertise in appropriate new