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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISIONOur vision is to be the nation’s leading public
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by Zintellect's search engine. Scanned items are not optimal for search engines. PDF must not require special certificates or passwords to open. Max file size is 10MB. If you have questions, please
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twins are leveraged to develop paradigm shifts in quality assurance, quality control, real-time process control, and design optimization for the United States. In this digital environment, you will use
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. Position Summary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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; You will participate in collaborations in materials optimization, device fabrication, and testing. Required Knowledge, Skills, and Abilities: You earned a Ph.D. in an appropriate discipline (Physics
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command
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Responsibilities: Lead Independent Research (80%): • Design, plan, and conduct independent research projects with guidance from the Principal Investigator. • Develop and optimize new experimental techniques and
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Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot intervention for
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motion planning and control strategies for multi-robot systems. Analyzing the theoretical guarantees of these frameworks using tools from optimization, machine learning, and control theory. Developing