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deployment of IoT solutions for environmental and energy applications. Solid knowledge of embedded electronics and microcontrollers (Arduino, ESP32, Raspberry Pi, etc.). Expertise in developing sensors for air
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within the scope of the project: 1) Development of multi-channel electronic light sensor devices, using microcontrollers with IoT communications, for measuring the visible light spectrum. Development and
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(https://cobotmakerspace.org ), this new and exciting post will be a key role in providing effective support to staff and students in the School working in soft robotics. In addition, this post will be
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candidate will join the team employing collaborative robots and AI in materials design. Where to apply Website https://jobs.materials.imdea.org/apply/form?id=95310 Requirements Specific Requirements Ideal
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computing. This evolution enables services to be deployed across the edge-network-cloud continuum [1], leveraging heterogeneous resources from edge devices (e.g., smartphones, microcontrollers) to cloud data
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Microcontrollers: ESP8266 NodeMCU, Arduino Uno, Raspberry Pi, Basys 3 Artix-7 FPGA Electrical Components: Oscilloscopes, Function Generators, DC Power Supplies, DMMs, Wave Generator, DC Motor, Tacho Generator
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for selected sensing solutions, which will involve printed electronics, conventional methods for manufacturing mechanical devices, development of electrical circuits, microcontroller programming, and preparation
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an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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, Bioinspired Materials and Sustainable Materials. For more details, please visit https://www.ntu.edu.sg/mse/research . We are looking for a Research Assistant to develop documentation for self-driving lab
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to teach a computer programming course targeted to Mechanical Engineering Technology which includes microcontroller programming (Circuit Python or Arduino) Related teaching experience Professional