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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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failure modes of electrical machines and their effects on vibration behavior are simulated. To this end, you will first adapt existing finite element models (FE) to represent mechanical faults. You will
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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of Applied Mathematics (AMA) is one of the constituent departments of the Faculty of Computer and Mathematical Sciences. Apart from making a significant contribution to most of other academic programmes
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Posting Summary Logo Posting Number STA00683PO26 Job Family Communications and Marketing Job Function Multimedia Design USC Market Title Multimedia Designer Link to USC Market Title https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
and ethical applications. The core elements of SDIS include porous borders: leveraging our low walled collaborative Carolina culture to solve major societal problems. Interdisciplinary research clusters
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
and ethical applications. The core elements of SDIS include porous borders: leveraging our low walled collaborative Carolina culture to solve major societal problems. Interdisciplinary research clusters
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Advancement provides leadership and services to all areas of the law school, serving as a focal point for annual giving, application development and IT support; campaign management; constituent programs; donor
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research and workforce-development portfolio, with particular emphasis on artificial intelligence (AI), digital manufacturing, smart manufacturing, robotics and automation, rare earth element manufacturing
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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity