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Company: Princeton University Description: The Princeton Language and Intelligence Research Fellowship is a newly established research fellowship for people who have recently received or are about to
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The Iain McCulloch research group in the Andlinger Center for Energy and the Environment at Princeton University is seeking applications for postdoctoral research associate(s) or more senior research position(s). The McCulloch group's research involves elucidating new structure property...
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degree in psychology, sociology, behavioral economics, management, or another social or behavioral science is required. Data analysis will require proficiency with the R programming language (or
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is seeking motivated and organized undergraduate research assistants to join our team. Studies will focus on questions of infant language development, perception, and learning. Please contact Alyssa
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on questions of infant language development, perception, and learning. Please contact Alyssa Guillu ([email protected]) for more information and to apply. This position is temporary. Tasks will include
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The Princeton Language and Intelligence Research Fellowship is a newly established research fellowship for people who have recently received or are about to receive a Ph.D. or doctorate degree and
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economics, management, or another social or behavioral science is required. Data analysis will require proficiency with the R programming language (or an equivalent) as well as a good foundation in statistics
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associate or more senior researcher with expertise and interest in: 1) Greenhouse gas accounting and mitigation in wastewater and water sectors 2) Large language models in environmental applications
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development of an independent research agenda that is congruent with the interests and goals of the laboratory. The scope of the work builds on recent publications from the laboratory, e.g. integrating language
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recent publications from the laboratory, e.g., predicting future illicit drugs with chemical language models (https://www.nature.com/articles/s42256-021-00407-x) and re-analyzing large-scale clinical