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Macomb Community College Adjunct Faculty demonstrate deep subject matter knowledge and provide effective instruction to students using various modalities including, but not limited to, on campus, online
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networks for real-time, adaptive diagnosis. b) Uncertainty in Dynamic Environments: Runtime uncertainties require sophisticated risk modeling; we will employ Bayesian deep learning and deep reinforcement
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-level detection capabilities. Their work involves enhancing the existing deep learning models to ensure high detection accuracy and improve navigation within open-field environments. This person will also
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at American Career College Educational Foundation. The incumbent evaluates, plans and establishes individualized study strategies and HSE curriculum for the student as an aid in the learning and comprehension
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learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in collaboration
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field. Strong research background in recommendation systems, graph neural networks, and multimodal representation learning. Solid programming and model development skills in machine learning and deep
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Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful
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teaching and curriculum development in Python programming, machine learning, deep learning, and modern AI applications. The ideal candidate brings strong applied skills and a commitment to hands-on, project
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, machine learning, and deep learning Good written and oral communication skills Experience in leading research projects Proficiency in basics of programming languages such as Python Self-Motivated and takes
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Macomb Community College Adjunct Faculty demonstrate deep subject matter knowledge and provide effective instruction to students using various modalities including, but not limited to, on campus, online