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Field
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demonstrated contributions to publications in top tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction
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Sciences, who develop, manage, and refine machine learning techniques for identifying copyists; Participation in the dissemination of research results through presentations and publications; Data management
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
://doi.org/10.3389/fenvs.2025.1473890 Madani, N., et al., & Miller, C. E. (2024). A machine learning approach to produce a continuous solar-induced chlorophyll fluorescence dataset for understanding Arctic
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learning and image processing techniques for estimating the onset of arterial disease. 2)Implementation of denoisers as priors for the solution of inverse problems. Implement code in PyTorch and other
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an employer based outside Poland; Additional requirements: experience in conducting research using machine learning techniques, supported by a body of research evidence through publications in international
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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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mathematical background Skills: Seismic station installation and operation, computer coding, seismic data processing, strong written and oral communication, experience with manuscript development, experience
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collisions and maximize efficiency through innovative AI-based movement and maneuver planning. For the first time, innovative machine learning concepts, such as “shadow learning”, are being used. Appropriate
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advanced machine learning and deep learning tools to decode the complexity of immune–tumor interactions, integrate multi-omics data at scale, and predict patient responses to therapy. The center works at