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knowledge graphs to develop and test new measures of innovative potential. The project will also assess how these measures relate to multiple indicators of research impact in biomedical research, with a
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, architectural history, cross-regional and cross-cultural practices, ecocriticism, theories of the image, and visually-informed theoretical and other frameworks, are welcome to apply. Mission Statement The mission
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), Long Short-Term Memory Networks (LSTMs), State-Space Models, Diffusion Models, Transformers, and/or Graph Neural Networks (GNNs). Knowledge of Physically-Informed or Physically-Aware AI/DL Architectures
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of AI models and architectures as well as methods, demonstrated, or projected, that are used to interpret mathematically different classes of AI models, and which we believe can be used in
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transcripts (unofficial is fine) A written list of classes currently in-progress and taken in the past that are in economics, mathematics, or statistics. Please indicate the name of the course, semester/year
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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resource. Required Qualifications* A doctoral degree in Mechanical, Aerospace, Naval Architecture & Marine Engineering, Scientific Computation, Computer Science, Mathematics, Physics or related areas is
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. The second pertains to a NASA-funded project to design and fly an airborne water vapor Lidar sensor at supersonic speeds. In either role, the successful applicant will apply optical analysis techniques (theory