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Field
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 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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and algorithms, (ii) artificial intelligence, machine learning, information retrieval, and data mining, (iii) security, cryptography, and privacy, and (iv) systems, networking, and architecture, with
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, following approved scheduling algorithms. Quality and Performance Measures: Achieve call quality standards job results, recognizing calls are recorded and scored. Meet quality and performance expectations
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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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the Department of Biochemistry and Molecular Genetics (BCMG), and a faculty member in the Center for Bioinformatics and Quantitative Biology (CBQB) at UIC. The successful candidate will conduct computational
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updates to address system changes, including new encryption algorithms, authorization protocols, data packet configurations, and additional user groups. Maintains and upgrades software and hardware
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data