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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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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . To develop novel inertial microfluidics and impedance-based cell sorter. To develop novel label-free CQAs based
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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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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in Software Engineering, Computational Physics
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, depending on your skills, integrating hardware accelerators (FPGA) into "Hardware-in-the-Loop" simulations. Finally, you will actively participate in the scientific dissemination of the work through the
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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security concepts. Experience with embedded platforms, FPGA development, or hardware-accelerated computing will be considered an advantage. Familiarity with technologies for deploying AI on constrained
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Design). Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in Designing and Building and Implementing FPGA systems, working with and/or developing neuromorphic
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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
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of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https