Sort by
Refine Your Search
-
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
-
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
-
to multi-task and work cooperatively with others. Writing and communication skills. Preferred Qualifications: Knowledge of computer models on watershed assessment and/or flood management. Knowledge
-
Staff Job Description Job Responsibilities 50%: Lab research - Design, plan, conduct and coordinate experiments in a wet lab as well as using computers. 20%: Communication - Keep detailed records of data
-
complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop predictive models
-
, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack
-
. 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
-
record. Ability to multi-task and work both independently and cooperatively with others. Preferred Knowledge, Skills, and Abilities: Strong computational and data analytics skills Modeling experience
-
comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees
-
Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together