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. The research will focus on identifying and characterizing ultrasonic signatures emitted by aging electronic components, and on developing physics-informed neural networks (PINNs) to model their degradation
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday
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courses in Computer Science and Information Technology. Courses may include areas such as programming, data structures, algorithms, databases, cybersecurity, networking, web development, software
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network data science algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will work
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fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a fault location and detection on the electrical and communication networks (including
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Conference on Neural Networks (IJCNN), pages 1–10, July 2022. doi: 10.1109/IJCNN55064. 2022.9892277. URL https://ieeexplore.ieee.org/document/9892277/?arnumber= 9892277. G. Bellec, D. Salaj, A. Subramoney, R
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institutions abroad and to integrate individual researchers into its scientific activities and projects. A postdoctoral researcher will find at IDPEC an intellectually stimulating environment with strong
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Systems and Computer Networks at the Institute of Applied Computer Systems (IACS), Faculty of Computer Science, Information Technology and Energy (FCSITE), within the indicative research theme Photonics
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of the Rheumatic Diseases, 2025 https://doi.org/10.1136/ard-2024-226142 CD200+ fibroblasts form a pro-resolving mesenchymal network in arthritis Nature Immunology, 2024 https://doi.org/10.1038/s41590-024-01774-4 We
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, implementation, testing and support of clinical applications utilized by clinical and operational departments. Incumbent implements and provides advanced level device, server, software and network support to UCDHS