190 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Princeton University in United States
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Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community.This position works closely with
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communication, organization, and interpersonal skills Attention to detail and accuracy Knowledge of digital image technology, photographic processes and ability to evaluate analog and digital image quality
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, migration, New Jersey urbanism, social justice, the humanities as a force of change, and the margin as a place of radical possibility. Additional information about its themes and program may be found at https
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: 280363223 Position: Postdoctoral Research Associate Description: The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term
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will bring your advanced technical knowledge and project management experience to raise the computational capability of the team and translate key PLI priorities into engineering solutions. The term
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
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program or collection of projects and programs. Working with the AVP, the Program Executives, and the Executive Director, Strategy and Governance, the incumbent actively participates and provides input in
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senior ranks may have multi-year appointments. A PhD is required, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences
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, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300