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for arbovirus surveillance in the wild through data collation and analyses, (4) conduct epidemiological modeling and analytics for data generated from the project and (4) provide regular technical support to
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directions, to comprehensively read literature, to establish appropriate experimental systems, to learn important technologies, and to execute experiments to advance the project and perform data analyses. 2
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data, some familiarity with public health and infectious disease-related questions, and your enthusiasm and commitment to PETAL’s mission to use analytical tools in service of pandemic preparedness. Note
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properties using time-dependent density functional theory and Monte Carlo methods, analysis and interpretation of data to validate theoretical models, manuscript development, and communication of research