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-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging, machine
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-oriented problems involving optimization, artificial intelligence, workflow redesign, and stochastic assembly line balancing. The position will involve close collaboration with industry partners
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. Required completion of PhD prior to start date. Desired Experience: Experience conducting research related to artificial intelligence in education, training, learning technologies, digital learning
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research, machine learning or artificial intelligence (e.g., large language models, EHR foundation models), causal inference (e.g., target trial emulation), and child health research. The research program
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with the application of Algorithms, Artificial intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience
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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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artificial intelligence for health for Fiscal Years 2026-28. The postdoc will join the vibrant, new collaborative Center for Humanities-based Health AI Innovation (CHHAIN), co-led by the Baylor College
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Postdoctoral Associate - Molecular Biology and Genetics Position Function We are seeking a highly motivated researcher to develop and apply cutting-edge artificial intelligence approaches
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scholarship within a vibrant and interdisciplinary academic environment. We are particularly interested in candidates with strong research backgrounds in game theory, mechanism design, artificial intelligence
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Postdoctoral Fellowship represents a unique opportunity to advance surgical care through innovative applications of data science and artificial intelligence. This interdisciplinary fellowship is designed