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molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open until excellent fits
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sample of no more than 10,000 words, and the contact information for three referees who will be asked to provide letters of recommendation. Applicants who have not yet received the Ph.D. must also provide
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: 280195745 Position: Postdoctoral Research Associate Description: Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for the Postdoctoral Research Associate role
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words, and the contact information for three referees who will be asked to provide letters of recommendation. Applications received by January 11, 2026 at 11:59 pm EST will receive full consideration
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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fine tuning and RAG workflows for LLMs on a variety of datasets*Maintain codebases and data pipelines; ensure reproducibility and version control*Work with team members to integrate LLM modules into user
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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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at https://www.princeton.edu/acad-positions/position/40601 and submit a cover letter, resume, a brief statement of research interests, and contact information for at least two references. This position is
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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, 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://arc-hum.princeton.edu/. We seek to hire fellows