260 evolution-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission‑scale capabilities
-
development, pursuit, support and coordination functions for university-wide, multiple-award federal, industry and/or non-profit agreements in biomedical and life sciences areas of focus. The OVPR oversees
-
announcement requirements, budget development, preparation of internal and external proposal forms, and use of electronic proposal submission modules. The incumbent will have daily interaction with faculty
-
Institute’s mission as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of War. This position combines hands-on financial analysis with team leadership
-
. This project provides a vibrant learning environment for all the trainees. The PI is committed to the professional development of the postdoc associate in addition to their technical excellence. Core
-
requirements involving staff and student employees, including hiring, onboarding, offboarding, role transitions, professional development, performance management processes and compensation, while supporting
-
-Level Technical Roles IT support/help desk, data entry, lab technician roles, or junior web development. What We’re Looking For At Carnegie Mellon, we value adaptability, excellence, and passion. We’re
-
Institute’s mission as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of War. This position combines hands-on financial analysis with team leadership
-
with an exceptional organization?! Apply today! Location Arlington, VA, Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff – Regular Full Time/Part time Full
-
: 2024073 As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we