172 machine-learning "https:" "https:" "https:" "https:" positions at Northeastern University
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independently. Computer skills are essential along with an aptitude to learn new tools the ability to navigate the University financial systems to input data and create reports is a requirement. The position
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Snowflake and data preparation tools like Tableau Prep Experience with predictive modeling, machine learning, AI applications, and advanced statistical methodologies Demonstrated ability to integrate AI with
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to express oneself clearly and concisely, orally and in writing. Strong computer skills, typing skills, and ability to learn new software Team and goal oriented Ability to exercise discretion in handling
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majors combined with other majors, and over 100 PhD students. The College of Science and Physics Department are in a vibrant expansion phase. The Department of Electrical and Computer Engineering (https
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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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verbal and written) are necessary. Computer skills and experience in working with databases desirable. Ability to learn and effectively utilize the College and University-level computer systems in day-to
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solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality
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Number: 6628631 Part-Time Lecturer- Khoury College of Computer Sciences- Seattle About the Opportunity The Khoury College of Computer Sciences invites applications for the position of Part-time teaching
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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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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning