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to develop risk assessment models for mitigating insecticide resistance. This position will require collaboration with other entomologists, plant breeders, extension educators, agricultural industry personnel
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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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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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, molecular, and functional genomic techniques in a wide array of marine invertebrate species to interrogate the evolution and development of novel traits. The successful candidate will be expected to develop
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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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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
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, and iterate the design 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
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related research questions and collaborate on projects conducted in the Lab and with partners. Anticipated Division of Time Develop methods for the use eBird and structured survey data as well as data
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. This information will be used to develop risk assessment models for mitigating insecticide resistance. This position will require collaboration with other entomologists, plant breeders, extension educators
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. Anticipated 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