9 big-data-and-machine-learning-phd Postdoctoral positions at Texas A&M AgriLife Extension
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Knowledge, Skills and Abilities: Good computer and communication skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: Knowledge of crop physiology and
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deployment. Experience with reinforcement learning (RL), computer vision, and sim-to-real transfer. Experience with robotic hardware platforms such as mobile robots, robotic arms, and embedded sensors
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research objectives, under the direction of a supervisor. Demonstrated expertise in hydrologic, water quality, crop, and ecosystem modeling. Strong computer and statistical programming skills, with
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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ecosystems. Acquire, organize, and evaluate CO2 and CH4 emission data from freshwater systems, integrating environmental and other measurement datasets. Design and implement CO2 and CH4 emission processes and
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be available. Position Description A PhD degree in one the fields: plant biology/ genetics, human nutrition, physiology, nutritional epidemiology, biotechnology, genetics, or food systems, or other
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research objectives, under the direction of a supervisor. Demonstrated expertise in hydrologic, water quality, crop, and ecosystem modeling. Strong computer and statistical programming skills, with
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AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of AgriLife and
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projects including IRB submissions, participant recruitment and enrollment, data collection, data synthesis, and preparation of research reports. The successful candidate will have the relevant experience