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integration, and system integration for next-generation wireless systems. We envision programmable and intelligent cellular networks that can be dynamically and algorithmically instrumented and optimized
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demonstrations in optimization and simulation; quantum information theory; and hybrid quantum-classical algorithms. We particularly encourage candidates whose research transcends traditional boundaries between
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for nanoscale materials and devices - Semiconductor manufacturing automation, and AI-driven process control and optimization - CMOS-compatible fabrication and integration for electronic, photonic, optoelectronic
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demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization
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of proteins and protein function prediction and optimization. Must have 3+ experience in bioinformatics and/or biological data formats. Must have familiarity with protein bioinformatics (understanding