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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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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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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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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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experimentation, taking and promoting considered risks, celebrating creative successes, learning from failure, and being open to alternative ways of doing things. * Strong leadership presence and ability to build
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harnessing emerging technologies to advance human potential and solve the challenges of the future. Powered by experience-driven teaching, learning and research, CAMD demonstrates that the fields of design
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About the Opportunity About this opportunity: Northeastern University is a global leader in experiential learning and cooperative education in which students alternate between academic study and
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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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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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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