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lead analysis and integration of household-level socioeconomic data with production, herd dynamics, and methane emissions datasets to develop and evaluate a dynamic simulation model of smallholder dairy
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methods and software, including uncertainty methods, spatialized approaches, and integration with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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microbiome-associated diseases. This position centers on cell-free RNA (cfRNA) liquid biopsy, a rapidly emerging technology that reads dynamic, tissue-resolved signals of human physiology and disease from a
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have advanced quantitative and biological skills and an understanding of basic disease dynamics. The work will explore large datasets on bat viruses we have acquired, with collaborators around the
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, or related fields and the successful applicant must have advanced quantitative and biological skills and an understanding of basic disease dynamics. The work will explore large datasets on bat viruses we have
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strong interests in system dynamics approaches to understanding drivers and causes of disease emergence, and deep interest in understanding zoonotic systems from the ecological, epidemiological, and
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leading the way in the fields of condensed matter, biological physics, and optics. Together with a dynamic group of graduate students and researchers, we are evolving new methods and deepening our
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seek a candidate with strong capabilities in hurricane modeling and risk assessment, and demonstrated experience in one or several of the following areas: Tropical cyclone dynamics and thermodynamics