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: Scholars at Risk (SAR) is an international network of over 600 higher education institutions and associations in 40 countries dedicated to protecting scholars, preventing attacks on higher education, and
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of scientists and researchers in an effort to research transcription factor-based sensors for waterborne toxins of interest. High-throughput cell-based and cell-free screening approaches, along with
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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systems engineering, electrical engineering, or other relevant areas Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems
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an extended campus in North Little Rock and offers as well as online courses. With the addition of the Arkansas Research and Education Optical Network (ARE-ON), students can engage in information exchange with
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/) seeks a Research Assistant I to become a member of the laboratory team. The Laboratory is interested in the gene regulatory networks that control organ development and adult organ homeostasis. We
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simulation and network-based methods for epidemiological modeling. ● Develop reinforcement learning models for decision-making during epidemic outbreaks. ● Documenting the entire process and all the codes
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Applied statistics Network routing Agent-based simulation Behavioral economics Game theory Decision theory Machine learning Artificial intelligence Where will I be located? Both local and remote
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an extended campus in North Little Rock and offers as well as online courses. With the addition of the Arkansas Research and Education Optical Network (ARE-ON), students can engage in information exchange with
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an extended campus in North Little Rock and offers as well as online courses. With the addition of the Arkansas Research and Education Optical Network (ARE-ON), students can engage in information exchange with