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Field
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Programming CSE 030: Data Structures CSE 031: Computer Organization CSE 100: Algorithm Design and Analysis CSE 107: Intro to Digital Image Process CSE 108: Full Stack Web Development CSE 111: Database Systems
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015: Discrete Mathematics CSE 019: Introduction to Computing CSE 022: Intro to Programming CSE 024: Advanced Programming CSE 030: Data Structures CSE 031: Computer Organization CSE 100: Algorithm Design
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generation of computer scientists for success. For more information, please visit https://www.csc.ncsu.edu/ Wolfpack Perks and Benefits As a Pack member, you belong here, and can enjoy exclusive perks
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, this research will contribute importantly to the discovery of novel risk genes, steer basic research and drug development, and advance personalized medicine. The successful candidate will also help with assisting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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computer science, such as Data Structures, Algorithms, Computer Architecture, Operating Systems, Databases, Computer networks, Cloud Computing, Machine Learning, Data Science, full stack Web Development. Prior
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dwarfs and/or the high-precision RV survey of solar-type stars being conducted with the NEID instrument on the WIYN 3.5m telescope; (2) improving technology, algorithms, and data analysis to mitigate
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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is encouraged to apply. A successful candidate would develop a research and teaching agenda around: Co-Designing algorithms and hardware for processing massive amounts of high-dimensional streaming