15 condition-monitoring-machine-learning Postdoctoral positions at The University of Arizona
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high density single unit recordings, with simultaneous monitoring of single cells in the medial prefrontal cortex(mPFC) and hippocampus in rodents while rodents are performing a spatial alternation task
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, learning analytics, AI in education, and/or machine learning Self-motivated, detail-oriented with excellent organizational, written, and oral communication skills Proficiency in academic writing in English
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ecology in Pieris rapae butterflies. Stressful conditions, –including extreme climate and the shortage of food– can heighten resource allocation tradeoffs between competing traits, like growth vs. flight vs
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making, and how internal state and environmental structure shape their functional operation. To address these questions, we use an observational and causal approach, combining monitoring and decoding
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stabilization using greenhouse growth chambers. Learn and apply integrative multi-omic approaches to investigate the biotic and abiotic roles in VOC transformations belowground. Knowledge, Skills, and Abilities