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spanning areas such as silicon security and integrity verification, hardware-assisted cryptography and security algorithms, side-channel and fault attacks, trusted hardware, or related areas
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related hardware description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture
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involving routine user assistance and support for computer software, hardware repair, maintenance, and provide support for audio/visual equipment. Develop documentation including user tips and instructions
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education credentials, and/or <b>verification</b> of prior employment. For more information about background checks, visit <b>https</b>://policy.unm.edu/university-policies/3000/3280.html . Refer to <b>https</b>://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular...
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software, hardware repair, maintenance, and provide support for audio/visual equipment. Develop documentation including user tips and instructions, and procedures to streamline tasks performed by other
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support to students, faculty, and staff, diagnosing and resolving hardware, software, and technology-related issues. Provide additional Tier I Help Desk support by telephone, email, and chat, including
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
; hardware–software co-design; modern SoC architectures; verification and architecture exploration. Teaching contributions: VLSI /Digital VLSI ; hardware acceleration; capstone integration; design
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education credentials, and/or <b>verification</b> of prior employment. For more information about background checks, visit <b>https</b>://policy.unm.edu/university-policies/3000/3280.html . Refer to <b>https</b>://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular...
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more information on Technology Resources, please visit: https://business.financials.utexas.edu/trecs This is a fixed-term position with an end date of August 31, 2027. Your skills will make a
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continual learning framework for speaker verification on hardware-constrained devices, such as smart eyewears. The goal is to design robust pseudo-labeling strategies and memory-efficient contrastive