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AI. This position is focused on how AI and machine learning are transforming marketing practices and shaping media landscapes. We are particularly interested in applicants with research and teaching
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, is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system
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well as concentration courses in the areas of Applied Machine Intelligence, Evidence Based Management, and Statistical Modeling. In conjunction with the Program Lead, developing and implementing course learning outcomes
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learning algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and
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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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of Business: For over 100 years, the D’Amore-McKim School of Business at Northeastern University has continuously strengthened its foundation of experiential learning and innovation. Today, our mission
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion
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to, the following: TELE 6510: Fundamentals of the Internet of Things TELE 5330: Data Networking TELE 6530: Connected Devices TELE 6500: Machine Learning Algorithms for Internet of Things Systems Qualifications: M.S
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limited to brain imaging (broadly defined), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral