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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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the Excellence Engineer Education and Training Program. It has outstanding advantageous disciplines. Among them, the specialty of Electrical Machinery ranks high in China, and multiple disciplines
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to support teaching activities as required by the school. Key Responsibilities: Develop algorithms and/or data structures, along with appropriate computation models. Perform empirical validation
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experience in first-principles simulations such as DFT. The candidate should be proficient in using DFT software packages (e.g., VASP, Quantum ESPRESSO), high-performance computing, and Python-based workflow
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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This is an exciting opportunity to join a new thrust to develop state of the art very high order computational fluid dynamics frameworks for high performance heterogeneous computing systems, working
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tools for High-Performance Computing (HPC) applications. Qualifications/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial
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Sign In Create Profile Postdoctoral Research Associate (Electrical and Computer Engineering) Tucson, AZ, United States | req22541 Apply Now Share Save Job Posted: 5/2/2025 Back to Search
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solutions ; High -performance computing systems to support specialized AI and LLM, and to empower the development and refinement of advanced algorithms for 6G communications, optimal grid management
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colleagues in Psychology and Computer Science. The post will suit an individual looking to gain valuable experience in conducting high quality research. The successful candidate will join the Immersive