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background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling
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systems engineering methods for health delivery design, evaluation, and transformation Designing and implementing agent-based, network, or graph models to study patient flow, care pathways, and population
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and resource allocation • Advancing systems engineering methods for health delivery design, evaluation, and transformation • Designing and implementing agent-based, network, or graph models to study
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computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
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, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts
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of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). * Develop and validate calibration methods for new sensors for turbidity and existing commercial
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Division of Time Develop methods for the use eBird and structured survey data as well as data on climate and land-use/land-cover change to meet project goals. (45%) Present results at professional meetings
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-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying interactions across interventions. MIXTAPE engages a multidisciplinary team from
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conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying interactions across interventions. MIXTAPE engages a
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central controller). ● Develop and validate calibration methods for new sensors for turbidity and existing commercial sensors. ● Explore high-frequency turbidity monitoring as a tool for assessing