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. You will be part of an interdisciplinary team bridging the gap between machine learning and materials science to develop next-generation computing hardware based on nanoscale magnetic systems
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-funded project. You will be part of an interdisciplinary team bridging the gap between machine learning and materials science to develop next-generation computing hardware based on nanoscale magnetic
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Are you passionate about uncovering and addressing vulnerabilities in AI systems, from algorithms to hardware? Join Us! We are looking for a highly motivated candidate with a computer security and
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, and — drawing on what the team learns from off-the-shelf hardware — contribute to the development of custom mobile platforms purpose-built for construction assembly tasks. The Research Assistant is
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-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing. We
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to modern society. Underpinning this research is the development of fundamental techniques in binary software analysis and instrumentation, hybrid static/dynamic program modeling, and machine learning
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, calibration and system integration; (b) conduct algorithm research and development in areas such as computer vision, multimodal learning and embodied AI; (c) perform experiments, data collection and
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measurements, 2D materials, programming and machine learning would be advantageous. Candidates should also be able to work effectively both independently and as part of a collaborative research team and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Summary This position will provide technical support and/or programming to staff which may include installing and configuring computer hardware, software, networks, printers, and scanners, diagnosing, and
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electric aircraft DC bus. Working with an industry partner, you will take the framework from analytical concept through to a hardware-validated methodology. You will be responsible for: Benchmark framework