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Position Information Position Information Position Number F0A05W Position Title Postdoctoral Research Associate of Anthropology (Native Linguistics) Unit Mission Statement The Department
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Postdoctoral Associate- Remote Option Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Linguistics, Psychology, or closely related field. Sign
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without developmental language disorder. The ideal candidate will be interested in questions related to bilingualism, language assessment, language development, morphosyntax, and/or developmental language
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and in other collaborating labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
is seeking a researcher with a track record in big data analysis and large language models. The applicant is expected to be a skilled, independent researcher, with experience in grant and paper writing
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Education and Experience The applicant should possess a Ph.D. and publications related to marine boundary layer physics. Experience using the MATLAB scripting language is a requirement. Certifications
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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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Language Models for scientific applications. ALCF is also a leader in training the next generation of scientists to utilize supercomputers to further their research. The facility is looking for a
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/scripting language; and have advanced mathematical skills. Preference shall be given to candidates with significant experience analyzing EEG or MEG data; fluency in multiple programming language; and/or
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techniques, such as Large Language Models (LLMs) to large-scale datasets. Optimizes existing algorithms for efficiency and accuracy. Preprocesses and cleans raw data from various sources (e.g., sensors