Machine Learning Physics Graduate Student
Livermore, CA, United States
USD 81K-98K (estimate) Entry-level Full Time Internship
Tasks
- Analyze large atomic datasets
- Analyze results and provide weekly updates
- Develop Python code for machine learning and numerical PDE solving
- Develop interatomic potentials from quantum simulations
- Develop parallel C code for machine learning and numerical PDE solving
- Develop parallel C plus plus code for machine learning and numerical PDE solving
- Discover PDEs using machine learning methods
- Evolve PDEs for phase field models
- Present work at poster sessions
- Review literature and document results
- Train test and evolve partial differential equations from data
- Write papers
Perks/Benefits
Skills/Tech-stack
C plus plus | C# | CUDA | Differential Equations | GPU Computing | Machine Learning | Materials Science | Numerical Methods | PDE modeling | Parallel Computing | Partial differential equations | Physics | Python
Education
Regions
Countries
States
Cities
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