8 algorithm-sensor-"Duke-University" Postdoctoral research jobs at Texas A&M AgriLife
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
-
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
-
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
-
design, prototyping, testing, and refinement of robotic systems and automation solutions, including sensor integration and feedback control. Collaborate with a multidisciplinary team to design and execute
-
genetic knockouts in yeast and mammalian cell lines, and protein purification. Job Responsibilities: 35%: Computational algorithm development and data analysis 35%: Design and conduct experiments with yeast
-
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