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Immediate PhD Position in Computational Engineering at the University at Buffalo for Fall/Spring 2020

An immediate Ph.D. position is available in the Predictive Computational Engineering (PCE) Lab in the Department of Mechanical and Aerospace Engineering. The research project aims at developing novel computational methods for predictive modeling and uncertainty quantification of biomimetic-inspired materials systems. Candidate should already be in the U.S. and must have a Master's degree in engineering or applied math. A strong background in computational and applied mechanics is desired.

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A phase-field mixture theory of tumor growth

Our paper on the phase-field mixture theory of tumor growth is published in JMPS. The continuum model simulates significant mechano-chemo-biological features of avascular tumor growth in the various microenvironment, i.e., nutrient concentration and mechanical stress.

Faghihi, Feng, Lima, Oden, and Yankeelov (2020). A Coupled Mass Transport and Deformation Theory of Multi-constituent Tumor Growth. Journal of the Mechanics and Physics of Solids, 103936.

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Mini-symposium on “Data-Enabled Predictive Modeling, Machine Learning, and Uncertainty Quantification in Computational Mechanics” at IMECE 2020 conference

Dear Colleagues,

 

As part of the IMECE 2020 (November 13-19, 2020, Portland, Oregon), we are organizing a topic on “Data-Enabled Predictive Modeling, Machine Learning, and Uncertainty Quantification in Computational Mechanics.” It is listed in Track 12: Mechanics of Solids, Structures, and Fluids: https://event.asme.org/IMECE/Program/Tracks-Topics.

 

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PhD Positions in Computational Engineering at the University at Buffalo for Fall 2020

Multiple Ph.D. students are being sought to fill openings in the Predictive Computational Engineering (PCE) Lab in the Department of Mechanical and Aerospace Engineering. PCE Lab concerns with multidisciplinary research at the intersect of multiscale modeling of materials, physics-based machine learning, and scientific computing.

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