728 structural-engineering "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at Northeastern University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Biology
- Business
- Arts and Literature
- Law
- Social Sciences
- Humanities
- Science
- Mathematics
- Education
- Psychology
- Chemistry
- Environment
- Sports and Recreation
- Linguistics
- Materials Science
- Electrical Engineering
- Design
- Philosophy
- Physics
- 13 more »
- « less
-
medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All
-
for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
-
& transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion
-
, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive
-
medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
-
learning” program and help create AI for impact. To learn more about the AI for Impact program and current projects please visit our website: https://burnes.northeastern.edu/ai-for-impact-coop/ . Role
-
of a Masters degree in a technical field or extensive government or industry experience. Significant professional experience in cybersecurity, healthcare technology, embedded systems, or related
-
roles and are not specific to any professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked
-
Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
-
degree in one of the physical sciences, life sciences, environmental science, engineering, applied health science, or other applicable degree Minimum of two years of experience applying federal, state, and