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Research Associates. DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating
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commitment to interdisciplinary research are especially encouraged to apply. Responsibilities will include: - Developing a computational Artificial Intelligence form finding design framework to shape
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candidates with strong expertise in building and conducting ultrafast time-resolved optical experiments. Key skills include the ability to design, assemble, and align ultrafast optical setups, integrate setups
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continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills; have (or expect to have) a PhD in Molecular
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; have (or expect to have) a PhD in Molecular Biology or related field; research experience in one or more of the following protein purification, protein-nucleic acid biochemistry, cryo-electron
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who are unable to upload unofficial transcripts may send official transcripts to Politics Postdoc Search, Department of Politics, 001 Fisher Hall, Princeton University, Princeton, NJ 08540. A PhD is
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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: Responsibilities *Explore, collect, and preprocess various sources to develop domain LLM training and test datasets *Design and implement fine tuning and RAG workflows for LLMs on a variety of datasets *Maintain
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. These models will be used to design and test policy and investment interventions to alleviate deployment bottlenecks. The successful candidate will have experience with applied energy systems analysis, economy
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials