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Analytics (MSA) Group in the Energy Sensing, Analytics, and Communications (ESAC) Section, Electrification and Energy Infrastructure Division (EEID) at Oak Ridge National Laboratory. Major Duties
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datasets, analyses, and visualizations. Communicate research results through peer-reviewed publications, technical reports, conference presentations, and collaboration with internal ORNL teams and external
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, fabrication, and testing of integrated photonic devices and circuits. Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively
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. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function
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++. Evidence of scholarly productivity, including peer-reviewed publications and conference presentations. Excellent written and oral communication skills and the ability to work effectively in a collaborative
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written and oral communication skills. Familiarity with nuclear data needs in the areas of nuclear structure and reactions. Special Requirements: Applicants cannot have received their Ph.D. more than five
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networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. The position is supported by
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. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function
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knowledge of models of strongly correlated electron systems. Proficiency with scripting or programmatic languages, such as Python, c, and MATLAB. Excellent written and oral communication skills. Motivated
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languages, such as Python, Igor, and labview. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative