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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
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instability in human stem cells, disease, and cancer, using human pluripotent stem cells and targeted differentiation approaches as a primary working model. Our goal is to determine how DNA and RNA instability
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for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging
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for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging
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Review Date (Note - Posting may close at any time) Job Summary Our lab is interested in improving healthy aging with nutritional approaches using mice as a pre-clinical model for discovery. In particular
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. Experience with mouse models, human immunology, and/or bioinformatics will be considered as a strong assets. Preferences Type Benefited Staff Special Instructions Summary Additional Information The University
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a postdoctoral scholar to lead collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex
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predictions using big clinical data, and performing machine learning based analysis for different translational research project, and in particular for developing conformal prediction models. Responsibilities
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Track position. A successful postdoctoral fellowship training in immunology with a focus working on mouse models in infection is preferred. Required training in molecular techniques, including but not
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population-based research and statistical modeling. Strong publication record and scientific writing skills. Proficiency in statistical software (e.g., R, SAS). Ability to work independently and