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Summary We are seeking a highly motivated postdoctoral associate to join our research team investigating the role of diet on hypertension, weight control and other health markers. This position is an
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computing, machine learning for hardware design, integrated circuit design, or hardware–software co-design. Experience with semiconductor design tools, circuit/system modeling, or large-scale hardware design projects
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quantum optics to support and advance quantum science research. The position involves theoretical modeling of quantum optical and many-body systems, numerical computation using advanced integration and
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career. Engage in open, timely dialogue with your mentor regarding research goals, professional development, and scientific integrity. Model collegiality and uphold the Duke School of Medicine Honor Code
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direction and supervision. •Statistical analysis and database management. •Learn and execute on Systems dynamics modeling and/or microsimulation Mixed-methods community engagement methodological development
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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analyzing flux tower, aerosol, and satellite remote sensing data • Familiarity with Earth system modeling and/or AI/ML applications is highly desirable • Strong written and oral communication skills and a
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language model training, and usage. They will also work with PIs to analyze data generated by these studies, write them up as scientific articles, and assist with grant-writing and other public outreach
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research