34 algorithm-development-"https:"-"Simons-Foundation" Postdoctoral positions at Texas A&M AgriLife
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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AgriLife and make a difference in the world! Position Information: The successful candidate will contribute to developing and evaluating terrestrial and aquatic nitrogen dynamics and emission modeling, with
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(incubation chambers, growth chambers, greenhouse hydroponics, aeroponics)As part of these overarching job responsibilities, tasks may include: •Prepare, collect and organize samples for microbial, growth
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and the Department of Horticultural Sciences, Texas A&M University. BCE program focuses on the development of breeding lines and cultivars of horticultural crops for controlled environments (CEs
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Description Duties/Responsibilities : - Develop and conduct research activities on novel genetic technologies capable of influencing the transmission of engineered transgenes in insects. Duties will include
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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Description Responsibilities: Develop and manage research projects related to dairy health and management. Collect, organize, and analyze data from dairy herds using advanced statistical and computational tools
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samples. Develop and conduct research projects related to a systems-wide approach to increase consumption of vegetables, fruits, and ‘foods for health’. Work on research teams and collaborate with other
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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
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping