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Attributes for Success: Bachelor's, master's degree, or PhD in Artificial Intelligence, Machine Learning, or related computing or physics field and up to 2 years of relevant experience, equivalent combination
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Python, C++, Julia, UNIX/Linux, bash, git, data analysis, or reproducible scientific software workflows. Simulation and statistical analysis: Experience developing simulations, systematics models, signal
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to send a paragraph to [email protected] stating their availability, including PI names and their main areas of interest relevant for the NTN fellowship. This information will be posted at https
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Division hosts the Mu2e Experiment, which searches for Charged Lepton Flavor Violation. Successful candidates will play a leading role in commissioning this experiment, focusing on data originating from two
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community of CMS scientists from US and overseas institutions, that play leading roles in analysis of data, in the definition and refinement of physics objects, in detector commissioning and operations, and