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Field
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scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing
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: Artificial Intelligence, including but not limited to Machine Learning, Responsible AI, and Computer Vision; Theoretical Computer Science, including Algorithms, Algorithmic Fairness, Game Theory, and Learning
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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need and demand. UT-ORII is funded by the Department of Energy and the State of Tennessee. More About the Workflow Systems Group: The Workflow Systems Group researches and develops systems and algorithms
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application development tasks. Direct
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to programming, data structures, algorithms, networking, database, and cybersecurity. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum development
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, discrete and combinatorial algorithms, and high-performance computing and large-scale algorithms. Preferred Qualifications: Potential for or experience with writing grant proposals to funding agencies. About
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Chirayath, ACES specializes in remote sensing and Earth science technology innovation. The Software Engineer will assist in designing and refining algorithms like Active Fluid Lensing and MiDAR. This role