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. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York
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- California Faculty Association, Temporary, Part Time, Faculty - Engineering EE 301: Digital Systems Design with HDL Position: Lecturer - Academic Year Semester: Spring 2026 Days/Times: Varies multiple sections
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EE 301: Digital Systems Design with HDL Position: Lecturer - Academic Year Semester: Spring 2026 Days/Times: Varies multiple sections Modality: In-person College: College of Science, Technology
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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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software and hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most
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: 4622473 RF Research Associate, FPGA-Based Real-Time Processing of X-Ray Diffraction Data Description of Department: The Electrical and Computer Engineering Department is a highly dynamic department fully
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software and hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most
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to reconfigurable / FPGA platforms, formal methods for reliable digital design, and novel device and memory technologies for neuromorphic and edge-AI computing. Our impact spans multiple sectors, including
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for the announced position include one or more of the following areas: – Digital Hardware, FPGA, and Processor Architecture • Strong experience in digital hardware design using VHDL or Verilog/SystemVerilog, with
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analogue / digital / mixed-signal ICs and intelligent sensing to reconfigurable / FPGA platforms, formal methods for reliable digital design, and novel device and memory technologies for neuromorphic and