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approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with a focus on
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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ways with extremely large data sets - Understand how to address software engineering questions that arise in research planning - Learn to communicate complex software engineering concepts with small
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of the Program Steering Committee comprised of senior functional, IT, and data leaders. The Program Steering Committee will be governed by the cabinet level Executive Steering Committee for critical
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the student services process including collecting, reviewing, documenting and maintaining student information, and documenting communications regarding students using the disability management system
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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technologies and their applications, including financial and policy implications within a large organizational setting Expert knowledge of financial modeling and data analytics Expert knowledge of financial
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, and evaluation of large AI models (especially language models); their applications to various academic disciplines on campus; and study of their impacts on society. The research scientist should have
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/cognitive control, and working memory. More information can be found on their website. This position will be responsible for performing some behavioral training of rodents and have the opportunity
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undergraduate alumni may also apply through the Office of International Programs, or they may apply as at-large candidates. (Princeton undergraduate alumni who are currently pursuing graduate studies in