Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
knowledge of model design and TensorFlow algorithms, and experience with hardware such as Raspberry Pi, as well as training in research activities, such as a Ph.D. and fellowships related to model design and
-
++, or other relevant languages. Experience with microcontrollers, Raspberry Pi, ESP32, Arduino-compatible platforms, or similar development boards. Ability to prototype, troubleshoot, and iterate hardware
-
technologies such as Arduino, Raspberry Pi, Processing, and P5.js (Python, C++, Java, and Javascript), Internet of things, projection mapping, machine learning, AR, game design, and web applications. The Hybrid
-
of interactive objects and installations); Robotics, single board computers, such as Raspberry Pi, the Arduino platform, real-time operating systems, utilising sensors and microcontrollers, as well as computer
-
designing and building hardware solutions, e.g. using Arduino, Raspberry Pi, 3D-printing, CAD and CNC machining and/or laser cutting Language Requirements: Excellent command of English (C1), both orally and
-
and interactive prototyping tools (including software such as Figma, Framer, or Adobe CC), knowledge of the basics of electronics and working with microcontrollers (e.g., Arduino, Raspberry Pi) and/or
-
, purchasing, and NU facilities. Proficiency in programming, including Arduino, Raspberry PI, and some circuit design and sensor selection. Knowledge and skills required are normally obtained through vocational
-
of environmental monitoring, bio-sensing, or smart material systems. Basic understanding of microcontrollers and embedded systems (e.g., Arduino, Raspberry Pi, or similar platforms) for interfacing biological
-
Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
., Arduino, Raspberry Pi, or similar platforms). Experience with sensor integration, signal conditioning, and data acquisition systems. Familiarity with LabVIEW or other instrumentation/control software
-
products, wearable technologies, or other complex physical systems. Experience with embedded platforms such as Arduino, STM32, ESP32, Raspberry Pi, or similar technologies. Experience with sensor integration