475 parallel-computing-numerical-methods-"Simons-Foundation" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
parallelizing serial computational applications. Experience in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as Singularity
-
The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues
-
place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The PLUS - Personalized Learning Squared project, run by the Human-Computer
-
potential to make contributions to knowledge through both novel computational methods and applications in humanistic disciplines. We especially welcome candidates with expertise in artificial intelligence
-
curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
-
: 2023677 Carnegie Mellon University is seeking a dynamic and experienced leader to serve as the Director of the Strategy and Transformation for Enterprise Platforms (STEP) program, a new initiative at CMU
-
Human-Computer Interaction Institute, Carnegie Learning, and Stanford University, PLUS brings together cutting-edge AI, rigorous research, and hands-on product development to invent the future of learning
-
Carnegie Mellon University’s Human-Computer Interaction Institute, Carnegie Learning, and Stanford University, PLUS brings together cutting-edge AI, rigorous research, and hands-on product development
-
Carnegie Mellon University invites applications for a Crisis, Consultation, and Referral Support (CCaRS) Program Director at Counseling and Psychological Services (CAPS), within the Community Health
-
-track positions in computational/digital humanities (starting Fall 2026). We seek dynamic educators with a demonstrated commitment to teaching computational methods—both foundational and advanced—with