424 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
deployment, and leadership skills. Function 3 Postdoctoral researchers are expected to: Lead research projects within one of the focus areas above. Publish in leading robotics, computer vision, and machine
-
What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia
-
and writing up experiment results. Responsibilities: Flight testing. Assist paper writing. Identifies problems and obstacles to progress; develops strategies to solve problems. May program software in
-
, you will provide key inputs to SSD leadership to develop our strategic business goals and objectives for the SEI's federal research program. Do you enjoy working with a professional cadre of program
-
What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works
-
advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government
-
of experience, an MS with 8 years of experience, or a PhD with 5 years of experience in Computer Science, Electrical Engineering, or a related field. You’ve worked in a collaborative team environment as a
-
What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia
-
Financial Operations (35%) Apply accounting practices to support accurate tracking of Executive Education revenue and expenses. Coordinate program schedules to align revenue recognition with CMU policies and
-
machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision