753 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Northeastern University
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believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach
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: Teach selected graduate courses within the multidisciplinary masters degree programs. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities include
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believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach
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: Teach selected graduate courses within the multidisciplinary masters degree programs. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities include
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associated with the emerging wave of Internet-connected things that are based on the physical environment. https://coe.northeastern.edu/academics-experiential-learning/academic-departments/mgen
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or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with performance optimization, debugging, and
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robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality while reducing operational
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About the Opportunity Responsibilities: Adjunct Faculty will teach selected courses in the following fields for both day undergraduate and evening MBA courses: Accounting, Entrepreneurship, Finance
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About the Opportunity Summary/Responsibilities The Communication Studies Department at Northeastern University seeks part-time faculty to teach courses on Public Speaking, Business and Professional
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technical contributions as an embedded software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI