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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, dashboards, and data visualizations in alignment with institutional needs and data governance standards. This position coordinates these data collection and reporting processes across a network of academic and
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, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial
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microphone technology, microphone mixing technology, digital signal processing including feedback eliminators, equalization and audio distribution. Experience operating and troubleshooting Crestron, Q-SYS, and
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Networks for MLFFs Implement and test uncertainty-aware loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting
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on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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deployment workflows. In all cases this position will require evaluation, adaptation, integration, and management of sophisticated system, network, and application software to support the research, teaching
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, administrative and teaching technologies and services. Job Summary The job this position provides second-tier support to resolve end user issues related to hardware, site licensing, software and networking
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for practices, competitions, and team travel. Assist in maintaining accurate inventory records, including equipment tracking, distribution logs, and the lifecycle of equipment. Inspect equipment regularly
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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