Innovation Postdoctoral Fellow, Data Science & AI
Tasks
- Build scalable training and inference pipelines
- Curate microscopy datasets and establish data quality standards
- Design evaluation protocols for model generalization
- Develop vision foundation models for cellular imaging
- Integrate multimodal imaging with other data modalities
- Pretrain and adapt vision foundation models
- Propose modeling and evaluation methods
- Publish and present research results
- Train models on GPU infrastructure
Perks/Benefits
Skills/Tech-stack
Cloud infrastructure | Deep learning | Distributed Training | GPU | High Performance | High-Performance Computing | JAX | MLflow | Multimodal Learning | Performance Computing | PyTorch | Python | Self-Supervised Learning | Self-supervised | Supervised Learning | TensorFlow | Vision Transformers
Education
Roles
Data Scientist | Fellow | Postdoctoral Research Fellow | Research Fellow | Scientist
Regions
Countries
States
Cities
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