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Field
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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transcriptomic analysis and coexpression gene network analysis. Understanding of polyphenol based chemical compounds, pathways, and metabolites. Other Requirements: Ability to lift or move light, moderate, and
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg
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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
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) and their application to addiction research. Knowledge of healthcare financing and reimbursement systems, including public insurance programs (Medicare, Medicaid), private insurance, and safety-net
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Description Postdoctoral Research Fellow in Network Physics of Plant Water–Carbon Transport at the Department of Civil & Environmental Engineering, Duke University Position Summary: The Department of Civil and
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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computing, data science, networking, and distributed systems with cross-cutting concerns of security and privacy. Position Summary The Computer Science Department at the University of Oregon invites
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faculty in biological disciplines across the university and provides ample opportunities for networking and collaboration. The successful candidate will be expected to work on campus in person
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to assess evolving risks in coastal-urban regions. Other key responsibilities include: Mesh design and high-resolution data utilization. Develop and refine high-resolution barotropic ocean meshes along U.S