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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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of Linguistics seeks a postdoctoral researcher to investigate fundamental questions about how children acquire language and develop communication skills. We especially welcome applicants who want to contribute
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approaches to remove atmospheric particulate (e.g., PM2.5) pollution. The math-based subgroup focuses on the use of deep learning and generative AI to address critical problems for the electric grid and broad
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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, molecular profiling, and transgenesis, and is passionate about learning systems neuroscience and all-optical physiological approaches to the study of brain-body interactions. Our mentorship goal
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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in the U.S. There will also be extensive opportunities to learn more about and work with Census-held administrative records. The successful candidate will have strong data science skills, including
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and patient-reported outcomes; (b) observational research and comparative effectiveness studies; (c) intervention studies; (d) clinical informatics, mobile/electronic health; (e) machine learning
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-based role based at Stanford University’s Environmental Measurements Laboratory May require ~20% travel to train others on analytical approaches and learn new approaches at other laboratories (domestic
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from varied sources, and machine learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with