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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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coding with Python. The ideal candidate should possess the following qualities: Strong initiative, self-motivation, and capacity for creative problem solving. Strong verbal and written communication skills
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: Qualitative data organization, transcription, and analysis, including coding, thematic analysis, and synthesis of findings to support research objectives. Qualifications: Masters Degree required. Background in
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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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contextual observations. Data Analysis & Interpretation Lead the coding, analysis, and interpretation of qualitative data from interviews and focus groups using systematic qualitative methods (e.g., thematic
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0142 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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. Ability to work independently, manage deadlines, and write clean, reproducible code. Strong interest in finance research and excellent communication skills. Interested applicants should submit a cover
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requirement. Good coding skills in, e.g. MATLAB, Python and/or Julia is a requirement. Experience from or competence in fluid mechanics is an advantage. Basic knowledge on geophysical (atmospheric or oceanic
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others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies pertaining to other schools at Duke University. Compliance with all
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for reports, coding and analyzing semi-structured interviews using qualitative analysis software, managing data, and reviewing the scientific literature. This position also will perform miscellaneous