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Field
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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artificial intelligence, advanced battery manufacturing, battery prognostics, and battery recycling. The successful candidate is expected to develop rigorous modeling, computational, and/or experimental
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and autonomy
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to cutting-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging
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and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to accelerate innovation in intelligent software technologies
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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. This position is intended to provide mentored research training and experience for a post doc fellow whose interests are aligned with the field of Technology Governance, which could include: artificial
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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solidified artificial intelligence (AI) as a key science accelerator, especially in concert with automated techniques for sample creation, movement, and evaluation. However, the flexibility and intelligence