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ferroelectrics, plasmonics, semiconductors—into photonic and THz architectures. This is an outstanding opportunity for candidates with a strong background in nanofabrication to contribute to cutting-edge quantum
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), Trustworthy AI, cybersecurity, and Next-Generation Networks. The successful candidate will work on federally funded projects (e.g., NSF, DHS, or DoD) focused on developing resilient-by-design architectures
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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from visible to telecom wavelengths Implement and test scalable readout architectures for nanowire arrays, including multiplexing concepts based on superconducting cryogenic switches (hTron, fTron
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, societal, and scholarly sector. AI3 includes more than 70 faculty members with interests ranging from novel algorithms, architectures, and mathematical / ethical foundations to applications in art
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architectures Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics Publish findings in high-impact journals and present at leading conferences Required
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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for AI and deep learning (details: NVIDIA DGX-2) Intel-based Aurora Supercomputer: A next-generation supercomputing system (details: Aurora Supercomputer) Additional advanced compute architectures designed
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accurate prediction of caries lesion progression to support precision prevention and treatment planning. The postdoc will lead efforts to design multimodal learning architectures (e.g., attention-based
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of medicine and engineering, with an emphasis on precisely controlling biomaterial functionality and architecture to treat diseases, control cell behavior, or answer fundamental biological questions. Our