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Field
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| Electrical and Computer Engineering This position researches theoretical and experimental methods for the detection of counterfeit integrated circuits assists with the development of grant writing and
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improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative tools for interactive and
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stocks and equipment and be responsible for coordinating repairs when needed. Maintain laboratory records for experiments for publication methods and for others to repeat experiments. Correspond with other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Hiring Range $62,000 - $65,000, dependent on experience Proposed Start Date 10/20/2025 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in
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training on specific specialized skills and research methods, and is responsible for the operation of the lab. ● Other duties as assigned. Special Notes: The Research Foundation of SUNY is a private
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
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are not limited to: organize and implement research plans develop methods or research that incorporate highly specialized training in a specific specialty conduct tests procedures and engage in data