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to Kenneth Dodge before April 9, 2026, at dodge@duke.edu. Salary is commensurate with experience. Work Arrangement – Hybrid DEPARTMENTAL PREFERENCES Advanced data analysis skills, including management of large
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. Perform experiments using human cell culture and approaches in molecular genetics, biochemistry, genomics, epigenetics, and computational biology. Collect, document, organize, and analyze experimental data
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Research Scientist will contribute to 1) wet lab experimentation on EBV and cell culture, 2) generating high quality data for the study of virus/host interactions using multiple modalities, 3) catalyzing
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, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial intelligence approaches to large-scale
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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. Document all education in patients' medical records. Provide expertise and resource information to other healthcare providers, patients and families, and the community at large related to pediatric diseases
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working in large teams with diverse disciplinary, sectoral, and cultural backgrounds; o For those experts in qualitative data, qualitative data experience and analytical skills are considered an asset. Duke
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Office of the President and COO, focusing on project management, data analysis, strategic planning, and implementation of key priorities. This role will support and lead initiatives in ambulatory
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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. Partner with the Engineering team to expand and optimize the DUMAC data warehouse and its analytical capabilities. Support active monitoring and hedging of currency‑related risks. Develop and improve tools