47 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Carnegie Mellon University
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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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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
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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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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
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, background in imaging, computational modeling, and molecular biology. Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted
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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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Learning Squared project, run by the Human-Computer Interaction Institute at Carnegie Mellon University aims to double the rate of math learning in middle school students, particularly those who have been
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Systems Department, in the School of Computer Science is looking to hire a Post-Doctoral Fellow in Policy for the Center for Informed Democracy and Social-cybersecurity (IDeaS) at Carnegie Mellon University
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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