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Field
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, 2025. Preferred Qualifications: Experiences in electromagnetic transient analysis, grid-forming IBR modeling, quantum computing, power system stability, cybersecurity, real-time digital simulation, and
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to focus their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer
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, and associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project is to
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information here. Explore the additional perks of working at CSU here . For the total value of CSU benefits in addition to wages, use our compensation calculator . Lastly, click here for more information about
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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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and implement power grid planning/operations algorithms and tools and conducts data analysis related to energy and power systems, with emphasis on the following areas: Variable energy resource
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to vertical flow immunoassays. (VFI). Experience in liquid nanoprinting of VFI membranes and design of experiments algorithms to simulate accelerated shelf-life testing is required. Applicants should be detail
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devices related to vertical flow immunoassays. (VFI). Experience in liquid nanoprinting of VFI membranes and design of experiments algorithms to simulate accelerated shelf-life testing is required