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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
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chloroplasts to respond effectively to environmental stimuli. This involves protein movement and dynamic protein-protein interaction to maintain optimal photosynthesis, stress responses, and other metabolic
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-located JAX Portland research site. The postdoc will contribute to and help lead projects related to the development and validation of models in the precision health domain that aim at diagnosing various