5 big-data-and-machine-learning-phd Postdoctoral positions at Lawrence Berkeley National Laboratory
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expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer vision/machine learning. Strong foundation in at least one of: numerical
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Modeling. Machine Learning Interatomic Potential (MLIP) accelerated simulations. Demonstrated ability of coding in Fortran, Shell, or Python with development experiences. Deep knowledge in excited states and
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reasoning over large scientific data sets. Developing theories for materials synthesis and degradation. Preparing presentations and reports. Writing peer-reviewed journal articles. We are looking for: PhD in
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in materials or low temperature physics. Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis
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at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here ). Want to learn