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fast-developing and exciting new area in the education sector. Isaac Science, developed by the University of Cambridge, and Ada Computer Science, developed in collaboration with the Raspberry Pi
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sensor-linked workflows; and Demonstrated experience with microcontroller platforms (Arduino, Raspberry Pi, or similar) and basic circuit design.
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Raspberry Pi, Arduino, or FPGA will be considered an asset. LanguagesENGLISHLevelExcellent Research FieldPhysics » Solid state physics Internal Application form(s) needed Application Form Overview -QuanG2.pdf
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processor programming or the use of DSP units in microcontrollers, Raspberry PI platform programming, programming in the Matlab/Simulink environment, signal theory and digital signal processing, including
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assembly language for at least one 32-bit microcontroller, • fundamentals of signal processor programming, • Raspberry PI platform programming, • programming in the Matlab environment, • signal theory and
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/visión artificial en aceleradores de hardware y dispositivos con recursos limitados (p. ej., Hailo-8, placas tipo Raspberry Pi). - Familiaridad con sistemas autónomos y distribuidos, desde middleware de
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, instrumentation control, microcontrollers (Arduino, Raspberry Pi), or data acquisition electronics. ➢ Experience in regulated environments or familiarity with medical device development (ISO 13485, MDR). ➢ Interest
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, Raspberry Pi, or similar platforms). • Experience with computer-aided design (CAD) software and rapid prototyping techniques, including 3D printing. • Experience developing artificial intelligence and machine
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, or Raspberry Pi. This is a term hire through December 31, 2026 but may be extended if funding permits. Revised 7/8/2026
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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