Innovation Postdoctoral Fellow, Data Science & AI
Tasks
- Build scalable training and inference pipelines on HPC and cloud
- Curate large scale microscopy datasets with quality standards
- Design evaluation protocols for model generalization
- Develop vision foundation models for high content cellular imaging
- Ensure code reproducibility and documentation
- Integrate imaging data with other modalities for drug discovery
- Pretrain and adapt pretrained vision models
- Publish and present research results
Perks/Benefits
- 401k
- Conference presentations
- Disability benefits
- Health benefits
- Life insurance
- Postdoc practicum
- Professional development
- Research publications
- Time off
Skills/Tech-stack
Cloud infrastructure | Data Quality | Deep learning | Distributed Training | Foundation Models | GPU Training | High Performance | High-Performance Computing | JAX | MLflow | Machine Learning | Machine Learning Pipelines | Performance Computing | PyTorch | Python | Self-Supervised Learning | Self-supervised | Supervised Learning | TensorFlow | Vision Transformer | Vision foundation models
Education
Roles
Data Scientist | Fellow | Postdoctoral Research Fellow | Research Fellow | Scientist
Regions
Countries
States
Cities
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