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) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with experience in ML algorithms including unsupervised techniques. The candidate is expected to lead an effort to prepare
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the scientific discovery process by quickly extracting useful information from vast quantiles of data, and by providing feedback to the experiment system enabling autonomous control and steering. New fast data
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The Low-Energy Nuclear Physics Research Group (LER) of the Physics Division at Argonne National Laboratory seeks outstanding individuals to fill an open postdoctoral position to develop and conduct
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researcher will lead experimental design, execution, analysis, and interpretation. The successful candidate is expected to publish in peer-reviewed journals, present at conferences, and establish new research