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interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other
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access to PLI's $9.6M GPU cluster (300 H100s), among the largest machine learning computer cluster in academia. In addition, PLI seed grants enable advances in AI-related research in the humanities, social
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interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other
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other lab and center researchers, postdocs, and graduate students across disciplines. The researcher will contribute to the design and implementation of an applied research project to increase the speed
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with fundraising in an academic setting *Minimum 3 years' experience with project management of complex teams *Strong background in machine learning and/or computer vision, at minimum being able to read
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coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a
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application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across
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, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a
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, distribute keys to incoming faculty, research scholars, postdocs, and graduate students. Maintain an organized key system. Serve as Building Access Coordinator. Assign building access over the summer to all
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Specialist, to develop computational software tools for the lab, support efforts of the research team, train students and postdocs, contribute to data management and analysis, and innovate computational