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University of New Mexico’s Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source
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advance the design and operation of next-generation thermal systems, developing strategies to model, optimize, predict, and autonomously control thermal systems behavior in complex systems. The candidate
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with one or more of the following models: WRF -Hydro, Advanced Terrestrial Simulator ( ATS ), Stormwater Management Model ( SWMM ), Hydrologic Engineering Center – Hydrologic Modeling System ( HEC
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. Work directly with faculty, APPs, and nursing staff to resolve scheduling and Contact Center issues. Demonstrate excellent work ethic and customer service, acting as a role model in all areas of
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large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment Experience with human-in-the-loop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC -Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
learning, multimodal, computer vision, time-series, and/or foundation-model approaches for biomedical and clinical data. Build and curate multimodal datasets and analysis pipelines in compliance with IRB
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, acting as a role model in all areas of Contact Center operations. Help to oversee and monitor day to day call center operations and processes for customer. satisfaction, efficiency, and target
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, acting as a role model in all areas of Contact Center operations. Help to oversee and monitor day to day call center operations and processes for customer. satisfaction, efficiency, and target
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proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore the application of computer vision and remote sensing techniques to enhance data-driven decision-making, adaptability