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Field
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numerical solvers for 2D and 3D phase field models Develop HPC-ready simulation pipelines for large-scale rupture and fracture-fluid systems Optimize performance for modern architectures including GPUs and
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availability of funding. We seek qualified applicants to work with Prof. Kohei Inayoshi on the following topics: (1) Black hole growth and formation: Conducting radiation hydrodynamic simulations
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth
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The position is funded by the Open Philanthropy grant “Verifiably Robust Conformal Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs
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) position on the development and application of phase field methods for dynamic earthquake rupture simulations in the context of enhanced geothermal systems, CO2 sequestration, and earthquake physics
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. This research will therefore contribute to the development and simulation of virtual models (digital twins) of commercial distribution transformers—both healthy and faulted—using FEM techniques
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The position is funded by the Open Philanthropy grant “Verifiably Robust Conformal Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs
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is necessary to: 1) explore platforms and frameworks that support the development and implementation of the models needed to detect and predict leaks; 2) process real and simulated data that will be
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Stimulation, Computational Modelling, Biomedical Engineering and Biophysics, Neurosciences Admission requirements: Bachelor’s degree in Biomedical Engineering and Biophysics. Must have attended courses
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”): Physics-Guided AI for Climate or Earth System Model Downscaling Global climate and earth system models yield massive simulations at low space-time resolutions and are subject to uncertainties resulting from