45 gender-studies-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Texas A&M AgriLife
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restrictions and studying how various food policies affect household purchases of ultra-processed foods. The work uses large transaction-level food purchase data and state-of-the-art machine learning and causal
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in the ecology and management of rangelands in the southern Great Plains; publications in peer-reviewed journals Design and conduct field-based rangeland studies; GIS, remote sensing and spatial
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Worth and West Dallas, Texas area. The postdoc will work directly with Principal Investigator Dr. Alexandra (Lexi) MacMillan Uribe on this study, with the opportunity to become involved in other community
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! Position Information Job Summary: The Postdoctoral Research Associate is responsible for studying how bacterial stress responses and multispecies biofilm ecology drive the persistence of zoonotic foodborne
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biogenesis, secretion, cargo loading, and biological functions. Uses genetic, molecular, biochemical, microbiological, and imaging approaches to study plant–pathogen and plant–microbiome interactions. Isolates
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are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by
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application to field studies and other phenomic data for biological discovery and breeding predictions. Responsibilities: -Under general supervision, is responsible for conducting research into phenomics
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related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies, with particular attention to health equity and health disparities. Responsibilities
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Qualificatoins: • PhD in Agronomy, Geosciences, Environmental sciences, or closely related discipline. • Strong background in agricultural remote sensing. • Ability to multi-task and work
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duties as assigned. Required Qualfications: • Ph.D. in Soil Science, Agronomy, Agricultural Engineering, Geosciences, Environmental Sciences, or a closely related discipline. • Strong background in data