Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
-
Field
-
) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
-
benefit trade-offs of sensor and actuator layouts, e.g., for improved ventilation. Hybrid data-driven and model-based control algorithms for improved online decision-making, e.g., for ventilation
-
well as agritech sensors. Procure experimental equipment, sensors, and peripherals. Maintain data pipelines for greenhouse and CEA experiments, including adapting source code to different crop types (e.g., camera
Enter an email to receive alerts for sensor-algorithm-"CEA" positions