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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Engineer I to support our research and testing
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with FPGA programming used in superconducting quantum circuit experiments. Model-Free Quantum Control via Reinforcement Learning: Reinforcement learning (RL) is an emerging approach for optimizing
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(including CIM and integrated systems) (3) Exploration of innovative hardware for DX through novel FPGA and sensors etc. (4) Advanced devices, e.g., nanomaterials, spintronics, and its AI/DX applications
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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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: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high
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programming LAMP stack design and implementation experience Knowledge of GPU and FPGA cluster management Experience with federal research compliance and security requirements Background in AI/ML computing
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design Electronic CAD software Enclosure design and manufacture Simple coding in C and Java FPGA programing in System Verilog Compensation, Benefits and Position Details Pay Range Minimum: $25.70 hourly
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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undergraduate Electrical Engineering curriculum, with particular instructional need in circuits and electronics, computer engineering (logic, FPGAs, and microcontrollers), and power systems. The department values