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physiological experiments to elucidate factors critical for nutrient transport and successful feeding. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and
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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
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. -Essential functions include conducting laboratory, greenhouse, and field experimental work. -Analyze data and prepare reports and research manuscripts. -Develop and submit research proposals to funding
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Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines
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anticipated contributions to this position Names, affiliations, and contact information for three references willing to provide letters of recommendation upon request All positions are security-sensitive
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history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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to organize and conduct a topical feeding and nutrient management summit focusing on climate-smart agricultural practices. (5) Analyze data, review relevant literature, and contribute to preparing manuscripts
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decision-making. Develop and implement survey instruments, focus groups, and other data collection methods to assess public perceptions, barriers to adoption, and the needs of landowners in Texas. Analyze
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constructs, obtaining and analyzing transgenic and gene edited clones, scoring patterns of inheritance and measuring expression/fitness of engineered strains. -Collection of data and keeping of detailed