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models, signal processing methods, artificial intelligence (AI) tools, and optimization algorithms grounded in electromagnetic (EM) principles. The project is inherently interdisciplinary, bridging
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Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
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Researcher to join the Reproductive, Genitourinary and Digestive (RGUD) disease estimation team. As a Researcher, you will assess data from multiple sources and develop strategies to integrate them
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multiple candidates to be hired as Assistant Research Professors or Postdoctoral Fellows; these are 3-year non-tenure-track positions that are funded through the Center with support from the College
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Intelligence, including but not limited to Machine Learning, Responsible AI, and Computer Vision; Theoretical Computer Science, including Algorithms, Algorithmic Fairness, Game Theory, and Learning Theory
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monitoring. To address these limitations, the proposed research will integrate UAV-based imaging, satellite remote sensing, and AI-supported classification workflows to quantify lichen distribution at multiple
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of professional experience in Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design. Multiple years
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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University of California, San Francisco | San Francisco, California | United States | about 6 hours ago
, Jupyter, Hadoop, Spark, Hiv Experience analyzing data on the order of tens of billions of records. Fundamental knowledge of computer science, architectures and algorithmic optimization Experience with