Sort by
Refine Your Search
-
, integration, and analysis of large, diverse datasets obtained from Unmanned Aerial System (UAS), Satellite imagery, ground sensors, and field measurements. -The candidate will work on Texas Climate Smart
-
: Strong background in controlled environment agriculture (e.g., greenhouse or growth chamber research). Experience with experimental design, data collection, and statistical analysis. Experience with sensor
-
and training. -Support processing and integration of datasets, including UAV imagery, satellite data, IoT sensor data, and field observations. -Contribute to workflows for AI/ML applications, crop
-
of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and
-
model algorithms for livestock enteric fermentation and manure housing and management using a scientific programming language. Integrate the modules into the APEX ecosystem simulation model. Assess and
-
plant physiology under controlled environments Experience using data loggers and environmental sensors for automated data acquisition, as well as conducting leaf gas exchange and chlorophyll fluorescence
-
protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools