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individuals and patients. These projects involve large-scale neuroimaging data collection at 3T and 7T, computational modeling of brain responses using machine learning methods, and cross-institutional clinical
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diffraction data where the information extends towards 3-d space. Machine learning offers promising approaches for the solution of complex problems of disorder, ultimately aiming at general and automated
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. As a hydro-focused center, the WERC conducts vital projects that turn sciences and engineering into actionable solutions. By integrating machine learning, sensing technologies, and predictive modeling
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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Grade Level 13 Salary Range $71,323-131,685/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu
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. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management
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general sociology courses, the successful candidate must be able to teach lower- and upper-level courses in Criminology, Sociology, and Criminal Justice, including courses in quantitative methods
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general sociology courses, the successful candidate must be able to teach lower- and upper-level courses in Criminology, Sociology, and Criminal Justice, including courses in quantitative methods
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general sociology courses, the successful candidate must be able to teach lower- and upper-level courses in Criminology, Sociology, and Criminal Justice, including courses in quantitative methods
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to