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approaches for the evaluation and validation of quantum simulations of quantum materials, including realistic treatment of uncertatinty and systematic error across experimental, classical computing, and
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frameworks such as Qiskit, CUDA-Q, PennyLane, Cirq, or equivalent platforms, and knowledge of quantum algorithms, quantum error correction, fault-tolerant computing, or quantum resource estimation. Experience
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optimization of machine learning workflows. Collaborating with world-class scientists, you will enhance your expertise in resource optimization, scalable computing techniques, fault resilience, and advanced AI
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characterization, and predictive fault tolerance in HPC systems. Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific
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engineering, or a related discipline completed within the past five years. Research experience in machining science, machine tool dynamics, machine tool error compensation and modeling, CNC system design, and