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Earth System Modeling”. Its overall objective is to develop an innovative framework for integrating citizen science data from the GLOBE Program with NASA Earth observations to model and predict mosquito
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of national influenza and COVID-19 surveillance data, developing and applying improved statistical methods for vaccine effectiveness studies. Lead analytical projects with partners across Emory’s infectious
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(or the equivalent), including a first-year Discovery Seminar every other year. The successful candidate will be prepared to teach a lab-based course in the methods of biological anthropology and an introductory
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quantitative findings to generate mixed-methods insights into program implementation and impact. Lead and co-author manuscripts for peer-reviewed publication. Prepare technical reports, policy briefs, and other
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, theoretical models, equipment and other vehicles for data gathering and analysis. Designs and applies scientific and numerical models in research. Oversees development and integrity of data collection and
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, supplies, and services. Reports to the Supervisor, Field Financial Operations and Procurement on procurement related topics, and to the Associate Director, Program Support on all other matters. Serves as the
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, or related field - Expertise in advanced quantitative/statistical methods (e.g., generative computational modeling, multilevel and/or structural equation modeling, univariate and/or multivariate fMRI
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lecture series, ACS grants and related activities, K12 program support, faculty development and onboarding, support of the Winship grant review process, nominations committee and postdoctoral fellows
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oversee quality and training of other team members. Duties include designing, developing and conducting research experiments. Will have expert knowledge and skills specific to the related program and
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specifications, systems, and tasks using analytical and investigative methods and techniques to ensure they are secure, functional, aligned with CARES coding standards and business needs, and compliant with all