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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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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
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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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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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, 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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| Computer Science and Engineering Postdoctoral Scholar in The OSU Natural Language Processing Group Two Postdoctoral Scholar positions are available in the Natural Language Processing Group co-led by Prof
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or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer work to generate
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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development of new AI-driven curricula and assessment frameworks for health professions education. Design, develop and apply AI solutions including traditional machine learning models, natural language
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Language), Quality Check, Researching, Results Reporting, R Statistics, Scientific Writing Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ