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well as an on-board processing system capable of target recognition and classification (people, traffic signs, etc.).The research program requires expertise in digital electronics applied to the configuration of FPGA
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, or approximate computing. Knowledge of hardware security, fault tolerance, dependable computing, or hardware reliability. Experience with GPU, FPGA, embedded, or specialized AI accelerator platforms. Experience
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-outs. Experience with FPGA-based or other real-time digital transceiver platforms. For the position in optical clocks and precision metrology: Experience with optical frequency-comb stabilization, self
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projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures; verification and architecture
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projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures; verification and architecture
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures
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, the work might be extended to explore novel FPGA based systems for atom interferometry with ultra-cold quantum gases. BECCAL is a large joint endeavor by NASA and DLR (Deutsches Zentrum für Luft- und
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transmitter or receiver devices. Experience participating in multi-project-wafer tape-outs. Experience with FPGA-based or other real-time digital transceiver platforms. For the position in optical clocks and
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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA