485 computational-physics-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Director of MBA Programs, this role serves as a primary face of the FT MBA, leading a professional team and partnering with faculty, administrators, and external stakeholders to ensure excellence in program
-
technology research, such as AI, computer science, engineering and robotics, CMU is now poised to strengthen its support and commitment for innovators and founders across all domains. During its first decade
-
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
-
divisions including but not limited to the provost division, academic colleges, enrollment management, student success, finance and budget, student affairs, human resources, and computing services. They will
-
manipulation with physics-based simulation in the loop. Mentoring graduate and undergraduate students. Other duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon
-
. Qualifications: High school diploma or GED required; Bachelor’s degree preferred Enrolled in a Higher Education, Student Affairs, College Student Personnel or related graduate program for the 2026-2027 academic
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
aid program management, loan administration, and cross-departmental collaboration. This position supervises staff, coordinates with internal and external partners, and contributes to policy development
-
curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
-
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