Senior Machine Learning Research Scientist in Pittsburgh, PA for Carnegie Mellon University

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Department Chair (Full Professor), Technology, AI, and Society, College of Engineering and Applied S

Stony Brook University

Stony Brook, New York

Call for Expressions of Interest and Nominations for a Max Planck Director (m/f/d) in the field of B

Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG)

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UT-ORII Fellow: AI-Driven Industrial Energy Systems

Oak Ridge National Laboratory

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Vermont Captive Insurance Association

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SKK GSB, Sungkyunkwan University

South Korea

Research Assistant - Temporary

Fred Hutchinson Cancer Center

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Carnegie Mellon University

Pittsburgh, Pennsylvania

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Senior Director, Agile Operations (Hybrid) - Center for Health AI

Washington University in St. Louis

St. Louis, Missouri

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Post-Doctoral Researcher - LTI - School of Computer Science

Carnegie Mellon University

Pittsburgh, Pennsylvania

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University of Washington

Seattle, Washington

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Machine Learning Research Engineer - Mellon College of Science - Pittsburgh Supercomputing Center

Carnegie Mellon University

Pittsburgh, Pennsylvania

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Research Assistant - Temporary

Fred Hutchinson Cancer Center

Seattle, Washington

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Postdoctoral Research Associate

The University of North Carolina at Chapel Hill

Chapel Hill, North Carolina

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AI Policy Fellow

Princeton University

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University of Alabama, Birmingham

Birmingham, Alabama

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Cedars Sinai

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United States - Nationwide

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Executive Director, Enterprise Digital and Web Solutions

University of California San Francisco

San Francisco, California

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New York University

Berlin, Germany

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League of American Orchestras

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UNC Health

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Senior Machine Learning Research Scientist

What We Do:At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we- build real-world, mission-scale AI capabilities through solving practical engineering problems- discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission

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