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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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will have the opportunity to contribute to developing educational outreach materials, mentor undergraduate and graduate students, and participate in grant writing. Required Education and Experience: PhD
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, Oklahoma State University, Virginia Tech, and private farms in Lexington, KY. Required Education and Experience: • PhD in kinesiology, animal science, or related field. Preferred Education and Experience
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: -PhD in relevant field (weed science, agronomy, ecology, plant science, etc.) Continued employment in this position is contingent upon availability of funds. Please attach the following to completed
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Experience: PhD in reproductive biology, cell and developmental biology, genetics, or similar field Molecular biology experience. Animal research Conducting statistical analyses. Preferred Education and
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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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Description Job Responsibilities Conduct multiomics studies to identify candidate traits using transcriptomics, epigenomics, and phenomics data Analyze transcriptomic and epigenomic data, including mouse
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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