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Laboratory focuses on artificial intelligence and computational research and applies this knowledge to support the nation’s leading initiatives. We hire top researchers who are ready to tackle the hardest
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develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. Major Duties/Responsibilities: Contribute
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scientific knowledge and develop innovative strategies and technologies that will strengthen the nation’s leadership in creating solutions to help sustain the Earth’s natural resources. Our scientists conduct
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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. Knowledge of Python programming language. Preferred Qualifications: Experience with object-oriented programming languages (especially C++), version control system (Git) and software development practices
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testing data. Knowledge of scientific software in python (numpy, scipy, pandas) or related data analysis suite. Record of productive and creative research as demonstrated by publications and conference
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within the last 5 years Experience in polymer synthesis, polymer processing, and characterization methods Preferred Qualifications: Knowledge and experience in controlled/living polymerization, particle
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developing large language models. Experience in DNA and protein AI/ML models and multimodal datasets. Knowledge in different deep learning architectures, tokenization and embedding methods. Experience in
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, physical chemistry, chemical physics, or a closely related field completed within the last 5 years. Preferred Qualifications: Experience or knowledge in some of the following areas: (i) classical and/or ab