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Field
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software is not on the blacklist" (without revealing the exact software). There are multiple aspects of this project. For all aspects, some cryptography background is required. Design and analysis of new
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Science in the Grainger College of Engineering at the University of Illinois invites applications for multiple full-time teaching positions to support the continued expansion of our teaching activity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Nutrition Research Institute (NRI) is a world-renowned center and a global leader in precision nutrition research. Our on-site facilities include multiple wet labs and clinical facilities as well as a
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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systems. This work will specifically focus on combining ML algorithms with classical data analysis and control techniques to develop robust in situ (i.e., in real-time, during the operating experiment
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underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities Design, implement and test real-time and
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guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
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appointment information, and directions. Coordinate services across multiple DUHS and PDC clinical locations, departments, and providers. Service oriented tasks are transactional, and productivity based
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issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying
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multiple 2D images and multiple channels, (d) optimizing 2D projection viewpoints (dose reduction and time savings), (e) applying artificial intelligence and traditional machine learning models to noise