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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology
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research and related professional activities. The successful candidate will conduct comparative and experimental studies on transcriptomic responses to insect diet and toxins, utilizing the milkweed-insect
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activities. The successful candidate will conduct comparative and experimental studies on transcriptomic responses to insect diet and toxins, utilizing the milkweed-insect community as a model for hypothesis
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primary research and related professional activities. The successful candidate will conduct comparative and experimental studies on transcriptomic responses to insect diet and toxins, utilizing the milkweed
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. This will involve adapting the CNCPS to a more linear system that can be used in a mobile app, if needed. In addition, the person in this position will be expected to conduct a comparative life-cycle
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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addition, the person in this position will be expected to conduct a comparative life-cycle assessment of milk produced under business-as-usual conditions and after implementing each management intervention
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mediated by a predatory stink bug and the prey itself to develop methods to control Colorado potato beetle. This position will combine field and lab experiments of insect behavior, movement, abundance, non
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predatory stink bug and the prey itself to develop methods to control Colorado potato beetle. This position will combine field and lab experiments of insect behavior, movement, abundance, non-consumptive
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partners. Develop and conduct biodiversity research to meet project goals. Analyze research findings. Apply results to conservation decisions and actions in collaboration with local partners. (35%) Prepare