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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
, the School offers two Bachelor of Science degrees (Data Science and Sports Analytics), two Master of Science programs (Data Science and Business Analytics and Health Informatics and Analytics), and a PhD in
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, the School offers two Bachelor of Science degrees (Data Science and Sports Analytics), two Master of Science programs (Data Science and Business Analytics and Health Informatics and Analytics), and a PhD in
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the following: A PhD in Computer Science, Software Engineering, or a closely related field (applicants who have submitted their PhD for examination or are near completion may be considered). A strong record of
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at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
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Required Skills: Current or planned MS or PhD student at the University in CS or related field. Solid background and working knowledge of computer science fundamentals including algorithms, data structures
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students, about 700 MS students and about 90 PhD students. The NSF industry-university collaborative research center on energy-smart electronic systems and local high-tech companies such as IBM, Lockheed
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being part of a world-renowned research institute and work closely with PhD students, Postdocs, software engineers and faculty members on developing cutting-edge AI ready tools for data management. We’re
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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