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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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experiences. Teach and serve in the Engineering Technology program and support other college programs (Mechanical, Electrical, or Computer Engineering) by offering select courses on the Brownsville campus
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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team environment. Demonstrated knowledge and application of instructional design principles, learning theory, online learning strategies, and technology integration. Demonstrated experience in using
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(housed in the Herff College of Engineering) with concentrations in Electrical and Computer Engineering. Additional information about the College and the Department can be found at http://memphis.edu/herff
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NTT Instructor - Electrical & Computer Engineering - (25001455) Description Temple University's Department of Electrical and Computer Engineering is seeking passionate educators to teach, develop
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RAP opportunity at National Institute of Standards and Technology NIST Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence Location Material Measurement
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innovation and engineering execution. The ideal candidate will bring extensive experience in machine learning system design, product-oriented AI development, and hands-on project engineering management