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Field
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Information Geometry. (2) Computing for AI: Programming Language Theory, Algorithm Theory, Combinatorics, Optimization Theory, and Homomorphic Encryption. (3) AI for Science: Applications of Artificial
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translational bioinformatics platforms to support the mission of precision medicine. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for
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teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic
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to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic phenotypes; and
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools
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. Development and maturation of control algorithms is critical to achieving the potential benefits of these systems. NASA requires modeling and test capabilities to support this maturation, from control algorithm
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to shape—and create—new forms of AI material—algorithms, interfaces and embodiment—through the pursuit of answers to a complex question: in what ways can we make life better for all with interactive digital
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Computational Systems Biology and Bioinformatics. The research will involve algorithm development and computational analysis of biomolecular information, using both traditional and newly developed methods
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and pattern recognition, atmospheric modelling, and computational spectroscopy. We focus on in-depth understanding of data and related algorithms, data analysis, and machine learning. Our cross-cutting
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algorithmic innovation and robot deployment, leading experimental design, system integration, and evaluation on real robotic platforms. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic