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- Computer Science EE 301: Digital Systems Design with HDL Position: Lecturer - Academic Year Semester: Fall 2025 Days/Times: Varies multiple sections Modality: In-person College: College of Science, Technology
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to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum
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-integration of memristors on commercial CMOS processes to create a neuromorphic chip with multiple heterogeneous memristor-based accelerators. The focus of this thesis will be the implementation and
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properties of matter. This includes developing technologies such as gas/liquid ionization detectors, cutting-edge FPGA-based electronics, and sophisticated digital signal processing systems. Position Overview
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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 difficult software
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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 difficult software
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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 difficult software
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functions) Desired: Experience with FPGA(s), Blockchain technologies, embedded programming (microcontrollers); desktop software development, web programming, machine learning, large language models, NIST and
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- Neuromorphic and AI-Optimized Processors – Design AI-specific chip architectures, including neuromorphic and domain-specific accelerators (TPUs, NPUs, FPGAs), for low-power and real-time AI processing. 2- AI
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developing integrated systems to automate the acquisition and interpretation of neutron scattering data. You will contribute to the development of FPGA tools for real-time processing of live neutron