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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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experience applying artificial intelligence or machine learning to scientific or engineering problems, including the development, training, validation, or evaluation of machine-learning models. Proficiency in
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, multiparameter flow cytometry, and immune-phenotyping experiments. • Use orthotopic colorectal tumor models, genetically engineered mouse models, and inflammation-associated adenoma models to study malignant
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group at the frontier of autonomous science across two projects. The primary assignment for the first 9 months is A-WILD (AI-driven Workflows for Intelligent Lab Discovery), a DOE Genesis Mission project
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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Position Highlights The Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology (RIT) invites applications for a Postdoctoral Research Associate to contribute
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Posting Details Position Information Fiscal Year 2026-2027 Position Title Postdoctoral Associate, Chemical & Biological Engineering Classification Title Postdoctoral Associate Department Department
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rigid body dynamics, biomechanics, and neural mechanisms, and applying data-driven methods to learn or identify models from empirical data. Notice of Non-Discrimination and Equal Opportunity
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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Position Description Department of Biological & Environmental Engineering Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and