2 parallel-computing-numerical-methods Fellowship positions in United States

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Postdoctoral Fellow in Material Science & Mechanical Engineering

Harvard University | Cambridge, Massachusetts | United States | about 7 hours ago

machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
NESAP for Machine Learning Postdoctoral Fellow

Lawrence Berkeley National Laboratory | Berkeley, California | United States | 3 months ago

tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience

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