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polymers for soft electronic devices. Job Description Primary Duties & Responsibilities: You can learn more about our research at https://coopergroup.wustl.edu/ . Information on being a postdoc at WashU in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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undergraduate and graduate degrees. Our fundamental interest is in the nature of language, how language is used, and how this use impacts language learning, processing, and structure over historical and
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on large datasets, have experience conducting survey research online, and have experience working with natural language processing and application programming interfaces, as well as prompt engineering, large
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to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
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Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Environmental Chemistry Laboratory at the Natural Resources Research Institute (NRRI) is seeking
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protocols to generate diverse cardiovascular cell types from iPSCs, enabling advanced cardiovascular disease modeling and cell therapy applications (Nature Cardiovascular Research 2023; Circulation 2023
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, or other relevant languages. Familiarity with frameworks for studying race, racism, and health disparities. Experience developing reproducible pipelines and working in high-performance computing environments
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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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Description The Buckler/Romay Lab at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to