Automated Feature Discovery & Anomaly Detection for Scientific Data Archives
Tasks
- Build deep learning pipeline for feature extraction
- Compress high dimensional data into feature spaces
- Create latent atlas for data tagging
- Identify outliers and anomaly detection
- Support data curation for SURGE framework
- Train autoencoders for unsupervised representation learning
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Autoencoders | Data Mining | Deep learning | Feature Engineering | Machine Learning | Python | Unsupervised Learning
Education
Regions
Countries
States
Cities
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