138 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Northeastern University
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and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features. The developer will work across legacy data structures (Banner, Workday, Salesforce
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/Planning Internal Number: 6808728 Part Time Lecturer - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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while engaged in their co-op experience and works with students through their post-co-op reflection. Integrated Learning : Cooperative education is an integral part of the academic experience
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requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with
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software and hardware devices. Offer hardware and software support for all technology resources used in Student Life. Provide in-person, remote, and telephone support for computer hardware, software, and
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design and realization, including machine learning (ML) and artificial intelligence (AI) applications, autonomy, cognitive and distributed sensing and communication, advanced manufacturing, and decision
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. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning solutions and applying
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/Planning Internal Number: 6792660 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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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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Internal Number: 6808723 Sr. Machine Learning Engineer About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one