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The Argonne Leadership Computing Facility (ALCF) and Computational Science Division (CPS) and Argonne National Lab (near Chicago, USA) is seeking postdoctoral researchers to accelerate development
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equipped with world-leading full-field imaging instruments, including ultrahigh-speed imaging. The group also develops end-to-end scientific software, data analysis, and interpretation methods
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passionate about development of scientific software and using it to conduct transmission and distribution system analysis. Candidates will be required to work in the following areas: Perform modeling and
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A Postdoctoral Appointee opening on the experimental development of optically-active spins for Quantum Information Science at surfaces is available in the Quantum and Energy Materials group
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. Knowledge of C/C++ language and parallel programming with MPI. Background in modeling of engineering systems. Familiarity with high performance computing (HPC) software platforms is a plus. Skills in using
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MPI. Background in modeling of engineering systems. Skills in using computer software such as COMSOL, Matlab, Simulink, Python and Excel. Skilled in oral and written communications and presentations
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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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manuscript to be submitted). Position Requirements This level of knowledge is typically achieved through a formal education in electrical engineering, mechanical engineering, physics, or a related field at the
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, Physics, or Chemistry. Knowledge of experimental fluid dynamics. Knowledge of mechanical engineering concepts and procedures. Computer and programming skills, including data processing and manipulation