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, Educational Technology, Learning Sciences, Human-Computer Interaction, or a related discipline. Strong interest in research relating to Generative AI, AI literacy, digital learning, workplace learning, or human
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deep insight and interest in investigating the interaction between collaborative learning processes in specific knowledge domains in educational sciences and AI tools and infrastructures. Different types
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solutions to agricultural problems that affect Americans every day from field to table. ARS delivers cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and
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, with a focus on developing new tools and insights to understand where to prioritize perennial restoration actions in agricultural landscapes to maximize biodiversity conservation, ecosystem services, and
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develop statistical, mathematical, causal-inference, simulation, and machine-learning methods using large-scale flight trajectory and operational datasets. Research may cover airport surface congestion
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for translatome analysis Expertise in integrating large-scale multiomic datasets, including machine learning based approaches Excellent written communication skills demonstrated by an outstanding publication track
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analysis of single-cell and genomic datasets, including scripting and pipeline development in R and/or Python. • Contribute to the development, testing, and maintenance of reproducible software tools and
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November 2026 - 23:59 Eastern Time For more information on career tools and other resources, check out Career tools and resources *If you are currently a term or continuing employee at NRC, please apply
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research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
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detection, inversion or imaging, system identification, and data fusion. Integrate DAS with complementary sensing modalities and computational tools, including AI or ML where appropriate, to improve