316 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at New York University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Administer the daily operations of the Scene Shop. Supervise the construction, load-in, and strike of productions. For larger productions lead the backstage crews ensuring smooth technical
-
Business and Technology Management, MS Management of Technology, MS Industrial Engineering, and PhD Human-Centered Technology Innovation and Design programs housed in the Department of Technology Management
-
SHIFT: Monday - Friday 7:00AM - 3:30PM Oversee and perform work associated with the installation, maintenance and repair of the building structural systems and their related appurtenances, including
-
systems. The CIO directs and implements security and privacy protections in conjunction with NYU Dentistry leadership for all academic and administrative technologies; develops and executes technology
-
curriculum, structures and processes. As the program expands, drive sustained excellence and optimize operations at scale, managing the program and developing a growth-oriented strategic plan that enhance
-
-based teaching methods, and expertise in educational technology tools like Articulate Storyline 360, while effectively implementing project management practices to lead course development. Required
-
: Bachelor's Degree in management, public administration, higher education, social sciences, psychology, computational sciences, engineering, humanities, or a related field. Required Experience: 7+ years
-
Position directs administration for Tandon’s Department of Mechanical & Aerospace Engineering (MAE), ensuring operational excellence and service. Direct the development and implementation of short
-
. Assist with the modification and implementation of construction for departmental facilities such as theaters, workshops, studios, and office support Ensure safety of facilities and and equipment and
-
, model integration, and evaluating both internal platforms and vendor solutions to deliver production-ready AI capabilities. Required Education: Bachelor's Degree in Computer Science, Engineering, Data