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demonstrated publication record in peer-reviewed scientific journals, particularly in avian population ecology Excellent statistical skills, including experience writing Bayesian hierarchical population models
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. • Experience with machine and deep learning modeling approaches and developing Bayesian models. • Multidisciplinary skills to bridge fields such as plant disease ecology, remote sensing data, and geospatial
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adapt to ever changing needs Preferred Qualifications: ● Research experience in natural language processing on biomedical and/or clinical texts, computer vision on medical images, causal inference
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inferences from observational datasets ● Familiarity with urban ecology, aquatic plant ecology or watershed biogeochemical processes ● Proficiency with GIS About the Department Ecology, Evolution, and
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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multiple statistical and modelling approaches, including Bayesian approaches. About the Department Ecology, Evolution, and Behavior (EEB) faculty teach undergraduate classes, advise graduate students, and
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regulatory network inference, cell lineage reconstruction, multi-dimensional data integration and etc. * Discuss with the laboratory members in bioinformatics analysis as needed. * Maintaining an active role