29 algorithm-development-"Prof"-"Prof"-"Prof" Postdoctoral positions at Texas A&M AgriLife
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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candidate who will support the development, implementation, and evaluation of methane and NH3 modeling and enhancement from livestock animals and manure housing and management in small farms or watersheds
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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
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personnel including graduate and undergraduate students Independently prepare research proposals Complete project milestones. Assist in developing project reports, communicating key findings both internally
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experience in either one of those two topics). The data/samples for these projects are “shovel ready” and await a curious researcher to develop high-impact publications that inform and enrich our knowledge
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Description Job Responsibilities: - Develop and validate ant-derived DNA barcoding protocols to detect and identify invasive arthropod pests - Conduct population genetic and genomic analyses (e.g
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Postdoctoral Research Associate-Assistant Agriculture Data Center Specialist to support the operation, development, and strategic growth of a state-of-the-art agricultural data center dedicated to advancing data
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management and soil health. This position will be responsible for grazing management data entry, data analysis, database management, developing progress reports for sponsor and publication. This position will
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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