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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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). The successful candidate will contribute to the modeling, simulation, and co-design of next-generation Quantum-HPC (QHPC) architectures, with particular emphasis on integration of quantum and HPC distributed
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science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging from edge sensors and
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learning, reinforcement learning, transformer architectures and large language models. - Analytical many-body and quantum information theory: replica field theory approaches to monitored and noisy quantum
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ideal for a researcher who possesses working fluency across both computational AI architectures and physical lab automation. We are seeking someone with an eagerness to master missing domains and a strong
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Advanced Experience Experience implementing novel machine learning architectures and emerging AI methodologies. Knowledge of multimodal modeling approaches integrating imaging, clinical, and genetic data
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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software
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the Department of Electrical Engineering at Yale University is seeking a Postdoctoral Research Associate to perform research on RF and analog compute architectures for next-generation sensing and wireless systems
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, or related platforms. Investigate cellular mechanotransduction and responses to matrix stiffness, architecture, and applied forces. Perform quantitative microscopy and image analysis using confocal microscopy
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Responsibilities Lead photonic integrated circuit (PIC) design and simulation using commercial tools. Contribute to novel photonic computing architectures including optical in-memory and