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AI models (especially language models); (b) Applications of large AI models to many academic disciplines; and (c) Studying the impact of large AI models on society and the world. The Initiative will
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Models of Human Cognitive Function," and potentially seed projects supported by NAM. Candidates can read more about these core projects and funded seed projects at https://nam.ai.princeton.edu/research. In
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. Initiate and maintain open collaboration with researchers across Princeton University. Regularly meet with, listen to, and ask questions of researchers to ensure the engineered solutions fit the research
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, "Explanation and Intelligibility" and "Developing and Testing AI Models of Human Cognitive Function," and potentially seed projects supported by NAM. Candidates can read more about these core projects and funded
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responsibility for project success, through a variety of means such as training, mentoring, and coaching. Serve as role model for the PM and project team through making timely and supportive decisions. Closely
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experiences. If this environment sounds like a strong match or even an exciting challenge, we encourage you to apply and use your cover letter to explain why you would be a good fit for the role. The term
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understanding of the application of federal and state laws that provide for an accessible higher education experience for disabled students. Knowledge of models of disability and inclusive educational design and
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to make a career change and those with non-traditional career tracks, educational paths, or life experiences. If this environment sounds like a strong match or even an exciting challenge, we encourage you
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advanced econometric and other statistical methods. The ability to write computer programs to manipulate information, devise programs for estimating econometric models, and create and manage an active
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macroeconomics. The position will include a variety of tasks that provide good preparation for graduate school, such as conducting numerical analysis, solving models, managing data sets, statistical analysis