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Field
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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
for Outstanding Mentorship, the MIND (Methods for Incomplete Neurological Data) Lab at UNC-Chapel Hill brings together biostatisticians and neuroscientists to advance methods that accurately estimate disease
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with various methods that can incorporate domain-based constraints and other types of domain knowledge into machine learning and applying these techniques to problems in computational creativity
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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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approach towards problem solving Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and trends in
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polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using advanced microscopy techniques and related methods
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, chemistry, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of surface science methods