40 parallel-computing-numerical-methods Postdoctoral positions at Carnegie Mellon University
Sort by
Refine Your Search
-
computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
-
studies, expert and patient interviews, user-centered design workshops, and observations in clinical and labor/delivery settings. Design and analyze experimental and mixed-methods studies Apply human
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Mar-26 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 183453 The Human-Computer
-
students work across areas to investigate and solve real-world problems. The Print & Probability project seeks a Postdoctoral Research Associate to develop AI methods for identifying printers of anonymous
-
excellent accomplishments in research in a broad spectrum of applied and computational mathematics. This includes PDE, calculus of variations, probability and stochastic analysis, numerical analysis, and
-
, 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
-
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
-
organized cardiac muscle tissue using the FRESH technique. This position requires in-depth knowledge of materials science and advanced manufacturing methods to engineer vascularized tissue constructs. Tasks
-
organized cardiac muscle tissue using the FRESH technique. This position requires in-depth knowledge of materials science and advanced manufacturing methods to engineer vascularized tissue constructs. Tasks