746 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Northeastern University
Sort by
Refine Your Search
-
Listed
-
Field
- Computer Science
- Economics
- Engineering
- Business
- Medical Sciences
- Biology
- Arts and Literature
- Social Sciences
- Humanities
- Science
- Law
- Environment
- Mathematics
- Psychology
- Education
- Chemistry
- Linguistics
- Materials Science
- Philosophy
- Sports and Recreation
- Electrical Engineering
- Design
- Physics
- 13 more »
- « less
-
About the Opportunity The Khoury College of Computer Sciences invites applications for the position of Part-time teaching faculty at our Seattle Campus. The Seattle campus launched in 2013 and is
-
/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
-
technical specifications. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning
-
- Regulatory Affairs (Toronto) About the Opportunity The College of Professional Studies is looking for a qualified candidate to teach on-campus graduate-level course in the Master of Science in Regulatory
-
/Planning Internal Number: 6792660 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
-
research, teaching, and engagement missions, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: Teach European, World, or American
-
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
-
models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated
-
collaborate with academic and industry partners of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start
-
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