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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoc in Children's Language and Learning in Everyday Environments Advisors: Monica Ellwood Lowe, Ph.D., Meg Cychosz, Ph.D
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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with Prof. Mauro Maggioni on problems that include: analysis and algorithms on graphs, geometric analysis of high dimensional data sets, dynamic data sets, scientific machine learning, high-dimensional
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Industrial Engineering and Operations Research. Good technical knowledge of probabilistic models and machine learning Basic knowledge of quality management in the manufacturing industry (e.g., SPC, FMEA, HACCP
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 days ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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with in vivo electrophysiology and/or calcium imaging data collection and analysis. Experience with machine learning–based behavioral quantification (e.g., DeepLabCut, MoSeq). Experience with MATLAB
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research on how engineers learn, how engineering knowledge and identities are formed, how we assess and evaluate learning, and how educational systems can be designed and transformed to support meaningful