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in research using state-of-the-art facilities. • Advanced High Performance Computing Cluster: Run advanced simulations and analyze them using numerical tools. • Global Exposure: Contribute
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quickly and accurately. High degree of computer literacy including familiarity with Microsoft Word, Excel, Zoom, Teams. Ability to learn new software programs such as REDCAP. Organizational and
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, trade/vocational school or higher education institution. Preferred Qualifications Must graduate from high school by the time of the start of the internship. Accepted to an undergraduate program in a STEM
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. The combination of GaN’s wide bandgap, high electron mobility, and semi-insulating properties results in improved performance, making vertical GaN devices an ideal choice for next-generation power systems. In
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depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information
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, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance
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, screening, obtaining informed consent, and enrolling research subjects in clinical studies, coordinating research-related tests, scheduling study visits, performing the high-resolution EGG studies, data
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Classification Title: Administrative Support Assistant II Classification Minimum Requirements: High school diploma or equivalent and four years of relevant experience. Job Description: Performs
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, assists the Chair, Administrator and Supervisor with daily operation and administrative aspects of the department and provides a high level administrative support. The position must be thoroughly familiar
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 4 days ago
and relevant work experience. Preferred Education Skills and Experience: Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems