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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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), 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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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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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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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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, Computer Science, Mathematics, Physics or related areas is required. The successful candidate will have a strong record of computational/theoretical/research and excellent communication skills. Additional
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, biomedical engineering, applied mathematics, or related field. Working in team science. Desired Qualifications* The ideal candidate will have demonstrated experience in physical modeling of biological systems
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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
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data