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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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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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computing, machine learning/AI, eco-scale application engineering, cloud computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques
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Analytics, Data Mining, Machine Learning, Optimization, Systems Simulation, Cloud Analytics, and Computational Tools for Analytics. Proficiency in Python, R, and SQL is an added advantage. While not a
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technology-enabled financial liberalization (e.g., crowdfunding, non-traditional payment systems, P2P lending, robo- advising), digital assets and currencies, and applications of AI/machine learning in
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electrical and computer engineering, including physics, mathematics, signal processing, and machine learning demonstrated by a relevant Ph.D. degree and a scholarly record. For more information on the SPIRAL
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About the Opportunity About Northeastern Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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graduate levels within the MIE department with primary emphasis on simulation, algorithms and optimization, data mining, database management, machine learning, and data analytics, as well as experience in
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computer skills, typing skills, and ability to learn new software Excellent interpersonal skills and ability to work effectively with a wide variety of people Has a professional phone manner and a service