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to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic and clinical data. Qualifications PhD in Computer Science
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and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data
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University of Tennessee Health Science Center | Memphis, Tennessee | United States | about 2 months ago
and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data
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University of Tennessee Health Science Center | Memphis, Tennessee | United States | about 1 month ago
Dr. Hayes. The selected candidate will develop and evaluate innovative statistical methods and machine learning algorithms in high-dimensional data for a variety tasks, which may include data
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Dr. Hayes. The selected candidate will develop and evaluate innovative statistical methods and machine learning algorithms in high-dimensional data for a variety tasks, which may include data
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technologies in the areas of human language processing, machine learning, and virtual agents are needed. Knowledge of Java and Python and experience with cross-platform system administration is necessary