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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
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PV inverters), synchronous generators, loads, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software
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algorithms for solving the targeted problem or hypothesis Conduct literature review for future projects. Assist with future funded projects as needed. Participate in manuscript development and publication
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algorithms for solving the targeted problem or hypothesis Conduct literature review for future projects. Assist with future funded projects as needed. Participate in manuscript development and publication
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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collaborate on a national research project aimed at implementation of automated image analysis. Incumbent will largely focus on implementing current pipelines for fish detection developed in the SEFSC, but will
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will develop a flexible neuroprosthesis for the motor cortex capable of supporting the production of complex movements. This project is part of a multidisciplinary collaborative effort with the labs
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a 3-year DOE-sponsored project that started in September 2024. The Postdoctoral Research Associate working on P1 will develop and test deep learning algorithms for model emulation and model parameter
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g