AI/ML Postdoctoral Researcher
Tasks
- Analyze diagnostic data
- Build Physics Informed Neural Networks
- Collaborate with multidisciplinary teams
- Conduct ML research and development
- Deploy ML models
- Detect anomalies
- Develop inverse pulse solve ML system
- Integrate ML tools into existing workflows
- Optimize ML models
- Optimize laser performance
- Predict laser performance
- Present technical results
- Publish peer-reviewed results
- Test ML models
- Train ML models
- Trend diagnostic data
- Validate ML predictions
Perks/Benefits
- 401k
- Education reimbursement program
- Flexible benefits package
- Flexible schedules
- Relocation assistance
Skills/Tech-stack
Bayesian Methods | Boosted Trees | Data Analysis | Data Visualization | Deep learning | Ensemble Methods | Gradient Boosted Trees | High Performance | High-Performance Computing | Machine Learning | Matplotlib | Model Uncertainty Quantification | Model uncertainty | Neural Networks | NumPy | Numerical computing | Pandas | Parallel processing | Performance Computing | Plotly | PyTorch | Python | SciPy | Scikit-learn | TensorFlow | Uncertainty Quantification | XGBoost
Education
Regions
Countries
States
Cities
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