51 postdoc-parallel-computing Postdoctoral research jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
mechanical properties. The postdoc is to build and successfully execute the project within the lab’s research program through collaboration with the PI and the group members. At least a PhD in Chemistry
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
-
Postdoctoral Fellowship Program, and ongoing support for Carnegie Bosch Chaired Professorships. Carnegie Bosch Fellowships are two-year awards supporting outstanding postdoctoral researchers conducting high
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
seeks applicants to fill the position of Post Doctoral Fellow in the Computer Science Department. The G-CLef Lab at CMU is hiring one postdoctoral scholar to pursue research on multimodal AI
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks
-
Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments. Modeling dynamical systems