13 phd-position-in-database-modeling Postdoctoral positions at Texas A&M University System
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Job Title Postdoctoral Research Associate - Climate-Smart Feed Management and Nutrient Modeling Agency Texas A&M Agrilife Research Department Animal Science Proposed Minimum Salary Commensurate Job
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. The position will involve designing and analyzing experiments, modeling producer and consumer behavior, and integrating experimental and observational approaches to generate robust evidence. The postdoc will
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databases to conduct analyses. -Perform experiments needed to evaluate the nutritional status of various engineered strains of gene edited or transgenic insects. -Evaluate data, drafts figures, prepares
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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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, 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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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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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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Description Job Description: A postdoctoral research associate position is available in the field of insect chemical ecology, plant-insect-microbial interactions, and pest management within the Department
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for leading research with mammalian animal model systems. Use multi-omic approaches to investigate the paternal and embryonic epigenomes. Have ample opportunities to collaborate with investigators and partners
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records of results, as well as utilizing computer programs and databases to conduct analyses. -Perform experiments needed to evaluate the nutritional status of various engineered microbes for gene edited