Sort by
Refine Your Search
-
datasets. Preferred Education and Experience: Ph.D. with emphasis in quantitative ecology, conservation biology, or paleobiology, with demonstrated integration of ecological and evolutionary methods
-
presentations • Learn how to manage projects independently. • Other duties as assigned. Required Education: PhD Preferred Experience: Experience in methods and equipment used in food physicochemical
-
resource-efficient practices; applying causal inference methods with experimental and observational data to evaluate the environmental, economic, and public health impacts of responsive agriculture; and
-
Job Description Job Responsibilities: -Develop method for target and non-target analysis of emerging contaminants in different matrixes. -Adapt advanced materials and technologies for emerging
-
/Essential Duties of the Job Collect and aggregate monthly grazing management data from various software platforms or personalized spreadsheets into one database Review grazing management records
-
researchers and projects. Engage with agency, industry, academic partners. Assist with mentoring of graduate students. Other duties as required. Required Education: PhD in Wildlife Ecology, Wildlife Management
-
. -Other duties as assigned. Required Education: -PhD in Plant Breeding or closely related field Preferred Experience: -Proven expertise in genomic and phenomic selection methodologies and their application
-
. Conducts mechanistic studies on how specific food components impact health outcomes. Develops methods to link food nutrition environment with health outcomes. Develops novel hypothesis, experimental
-
, herd management, and applied research. Proficiency in data analysis and statistical software (e.g., R, SAS, or similar). Ability to analyze large datasets Location: Department of Animal Science, Texas A
-
cooperatively with others. Skill in writing manuscripts and making formal presentations. **Position contingent on availability of grant funding** Job Responsibilities Participation in several research projects in