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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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Posting Details Position Details Title Multiple, Tenured, Associate or Full Professors in Computer Engineering Appointment Status Tenure Department IU Bloomington Vice Provost For Faculty Affairs
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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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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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and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures
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as Instructors in the following areas: Circuit Design Digital Systems Control Systems Microprocessor-based Embedded Systems Communication Systems VLSI Design FPGA-based Embedded Systems Lasers