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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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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position in MR Physics. This successful applicant will help with development of MR imaging methods to study tumor metabolism and response to therapy. The research in the MRRF is focused on the development
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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
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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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to methods and principles aimed at understanding and modelling the mechanics of deformable bodies. Solid mechanics is a core discipline in mechanical engineering and is of fundamental importance to many other
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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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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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in the area of informatics and health data science research using translational, population health, and health equity methods and practices. Establish and foster meaningful mentors-mentee partnerships
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. Required Related Experience Knowledge of quantitative and/or qualitative social science research methods is required. Required License/Registration/Certification N/A Physical Requirements Sitting for long
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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