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: 281345908 Postdoctoral Research Associate in Linguistics D-26-HUM-00001 | Research | Linguistics The Program in Linguistics at Princeton University invites applications for one or more Postdoctoral Research
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront
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opportunity to develop independent research projects aligned with the lab’s focus on the neural basis of language processing. This position offers a highly interdisciplinary environment for studying linguistic
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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of quantum computing, polyhedral geometry, and topology. Broadly, we study the mathematics of quantum advantage—how and why quantum computation can outperform classical computation—and develop rigorous tools
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
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areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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The Skinnider Lab at Princeton University aims to recruit a postdoctoral fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets
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for longitudinal data analysis or large language models. Strong motivation in the development and application of digital twins, particularly in health and biomedical contexts. Strong computer programming skills