美国阿尔贡国立实验室不确定性的量化研究博士后职位

2014年11月13日

来源：知识人网整理

摘要：

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 data analysis for complex dynamical systems. Key applications include power grid, climate, and weather forecasting for energy systems. Uncertainty quantification and statistical analysis and modeling of massive data sets obtained through direct observations of real physical processes will be analyzed by using scalable algorithms. The appointee will conduct statistical model building with the purpose of fusing physics and data, calibration, and validation. The appointments will be in the MCS Division (www.mcs.anl.gov), which has strong programs in scientific computing, software tools, and computational mathematics.

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