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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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Qualifications: Recently completed PhD or other doctoral degree in a discipline related to indoor air quality. Training in epidemiology, exposure modeling, and/or environmental health and toxicology preferred
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physiological responses to hormones, neurotransmitters, and environmental stimulants. We take an interdisciplinary approach that combines proximity labeling proteomics, structural biology, computational modeling
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models for image classification, develop habitat suitability models, and evaluate environmental drivers of arbovirus transmission. Our group is validating and utilizing novel approaches to mapping mosquito
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well as important gene/environmental interactions. The successful applicant will be immersed in cutting-edge high throughput gene targeting and single cell RNA-seq, and in the molecular and cellular biology of