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will be responsible for creating the human-dimension inputs that power the Global Water Model. The successful candidate will join the Marston Research Group within the Department of Civil and
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will be responsible for creating the human-dimension inputs that power the Global Water Model. The successful candidate will join the Marston Research Group within the Department of Civil and
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publications. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work independently and collaboratively in an interdisciplinary research environment
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of overlapping deadlines. • Ability to work in laboratory environments with exposure to hazardous materials, requiring compliance with safety training and PPE protocols. • Written communication skills demonstrated
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datasets. - Demonstrated ability to work effectively with a diverse team from multiple disciplines (e.g., systems engineering, decision theory, organizational theory, economic production theory, human
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applications to biological questions. • Solid background in coding. • Demonstrated ability to work effectively with a diverse team from multiple disciplines. • Demonstrated ability or potential to lead graduate
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, workflow orchestration, or AI-assisted experimental design. •Proven ability to conduct independent research, collaborate across disciplines, and publish high-quality scientific work. Overtime Status Exempt
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. • Excellent communication and organization skills and ability to work collaboratively with diverse teams. Preferred Qualifications • Expertise in agricultural economics, health economics, policy analysis, small
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and presenting at professional conferences. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work both independently and collaboratively in
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to hygrothermal or moisture diffusion processes. • Experience with experimental design, data collection, and analysis. • Ability to work both independently and collaboratively in an interdisciplinary research