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Position overview Position title: Postdoctoral Scholar Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is $69,073 - $82,836. Percent time
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partial observability. Human learning. This part develops an adaptive learning system in which an AI tutor estimates each student's evolving knowledge state from their interaction history (responses, errors
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computing and/or cloud computing; familiarity with Earth system models through model development, model execution, and/or model performance diagnoses; applied mathematics methods such as machine learning
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. Appointment and continued employment are contingent upon formal conferral of the Ph.D. Preferred Education and Experience Experience in bilingualism and language research, using neuroimaging methods (EEG, fNIRS
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methods (landfilling, composting). Scientific Dissemination & Stakeholder Engagement Author and submit a minimum of two peer-reviewed manuscripts during the project period. Produce technical reports
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. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding
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qualitative, quantitative, and/or mixed-methods data analysis Prepare research materials, protocols, summaries, and project documentation Supervise and support graduate and undergraduate research assistants, as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
North Carolina, US Hiring Range Stipends are awarded based on the NIH T32 guidelines Proposed Start Date 09/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
North Carolina, US Hiring Range Stipends are awarded based on the NIH T32 guidelines Proposed Start Date 09/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global
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spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational methods to discover unknown metabolites that have strong associations to experimental