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Class Civil Service Add to My Favorite Jobs Email this Job About the Job About The Lab Group: The Computer Networking, Mobile, and AI Research lab led by Prof. Zhi-Li Zhang and Dr. Eman Ramadan, our lab
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, CVPR, ECCV, PR, or PRL. Experience in leading and coordinating research projects. Experience in biometric data acquisition, sensor calibration, and dataset management. Expertise in deep learning, GenAI
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
focused on environmental applications for air quality management. This will include acquiring datasets related to multiple air quality sensors from diverse data sources, develop open-source, easy to use
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combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position for you! About us Our team is part of the Division
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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experimental data from IoT sensor networks and near real-time simulations. Conduct sensitivity analysis under varying operational conditions, including environmental factors such as temperature and load
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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available1Company/InstituteŁukasiewicz Research Network - Institute of Microelectronics and PhotonicsCountryPolandCityCracowPostal Code30–701Streetul. Zabłocie 39 Contact City Warsaw Website https
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, Mesoscopic Physics/Nanoscience , Metrology , MOTRIMS , Multi-messenger Astronomy , Nano- and Optomechanis , Nanomechanics , Nanoscience , Nanotechnology , Network , Networks , Neutrino Astronomy , Neutrino
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research network called NiteLiDAR. We want to use the results of this research, together with our partners, to create innovative demonstrators for the next generation of LiDARs. In the second step you will