49 parallel-computing-numerical-methods-"Multiple" Postdoctoral positions at Carnegie Mellon University
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track record in modern music AI methods and experience working directly with musicians. Demonstrated ability to manage multiple priorities; and communicate effectively in an interdisciplinary environment
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Nov-25 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 177629 The Computer
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and time-resolved spectroscopy of liquid and powder samples and experience in developing methods and instrumentation. Core Responsibilities: Designing and building a custom fluorimeter Developing
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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
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citizens. The Critical Technology Initiative at CMU is looking for a Post-Doctoral researcher to advance an analytic research program to inform innovative technical and policy solutions. As a researcher, you
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citizens. The Critical Technology Initiative at CMU is looking for a Post-Doctoral researcher to advance an analytic research program to inform innovative technical and policy solutions. As a researcher, you
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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
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of applied and computational mathematics. The position is connected to the NSF RTG grant "Frontiers of Applied Analysis". Consequently only U.S. citizens, nationals, and permanent residents are eligible
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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