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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
opportunity to conduct occupational health and safety research in close collaboration with the NC OSHECR faculty at UNC-CH, Duke University, and North Carolina State University. This Fellowship also offers
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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as evidenced by earlier research publications; Creation of virtualised container-based testbeds for experimental research on network security, integration of industrial use cases and digital twins, AI
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into public security, focusing on sociotechnical reconfigurations and their political, regulatory, and social impacts. With an interdisciplinary approach (Critical Security Studies, STS, and Surveillance
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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security. We utilize our expertise in numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention
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academic research. The ALC focuses on the intellectual study of leadership within the fields of development, peacebuilding and security with attention to Global South contexts. The Centre is committed
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, for on-chip magnon quantum sensing Position Requirements Superconducting resonator design, simulation and nanofabrication. Microwave circuit design and characterization, including vector network analyzer