163 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Northeastern University
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TypeScript. A solid foundation in machine learning, large-data processing and software development, including Python, HTML, CSS, and other web frameworks, is essential. Candidates should have excellent skills
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are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Khoury-College-of-Computer-Sciences-SPHERE-Research
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technical specifications. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning
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/Planning Internal Number: 6762286 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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Compliance, and Pitchbook. Strong understanding of how to perform and present due diligence analysis. Familiarity with computer forensic tools. Understanding of export control regulations and trends in
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skills with experience in cloud data warehouse systems such as Snowflake and data preparation tools like Tableau Prep Experience with predictive modeling, machine learning, AI applications, and advanced
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invites applicants for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in San Jose
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer