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, prototype and evaluate new architectural improvements, in particular new security mechanisms and cryptographic IP implementations on hardware FPGA platforms Integrating security Engine/TEE and post-quantum
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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. AI-Driven
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of controlling small quantum computers and memories, we anticipate the development of high-speed event-driven decision making, likely to require the use of FPGAs or CPLD based hardware. In the framework of setting
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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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(RSE) Group. In the RSE Group, we collectively provide computational research expertise to multiple divisions within the University. As a central team of software experts, we are focused on improving
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to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton’s computational research software. Our
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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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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any
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experience or equivalent. • Knowledge with building embedded control systems in Python or C++/C#. • Experience in machine vision and/or industrial automation. • Experience with PCB design, DAQ, and FPGA