Sort by
Refine Your Search
-
logging device to pair with Raspberry Pi data collection systems to monitor the soil, air, and humidity in five high tunnel structures throughout Valley and Adams County. • Assist at tabling and outreach
-
with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer
-
/temperature) and safe operating procedures Implement a simple controller/data logger (Arduino or Raspberry Pi) to run reproducible cleaning cycles (timing, purge steps, logging) Quantify cleaning performance
-
(Arduino, Raspberry Pi, STM32), MATLAB/Simulink, industrial sensors and motor drives, HMIs, and CAD software. Application Materials Applicants should submit: Cover letter describing applied teaching
-
Raspberry pi cameras to track leaf growth over time in a variety of mutants Stomatal impressions and microscopy to count stomata Image analysis to measure stomatal number, leaf size and hormone concentrations
-
(Raspberry Pi and NVIDIA Jetson). Support AI Makerspace users’ robotics projects involving hardware assembly and software frameworks like ROS or ROS2. Maintain and troubleshoot in room hardware including LIDAR
-
mentorship of undergraduate students Strong written and verbal technical communication skills Experience working with engineering software and tools (for example, CAD software, Arduino, Raspberry Pi, 3D
-
with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer
-
qualifications include (but are not limited to): Sophomore or Junior level Software development experience Microcontroller knowledge (i.e. Arduinos, Raspberry Pis, etc.) 3D modeling experience and knowledge of 3D
-
for various tasks, e.g., object detection, classification, segmentation Implement and optimize models for performance on edge devices (e.g., Raspberry Pi, Jetson) Collaborate on integrating vision models with