AI Research Scientist - Medical Imaging Analysis
CNY 192K-233K (estimate) Mid-level Full Time
Tasks
- Apply multiple instance learning for histopathology
- Collaborate with clinical partners on requirements
- Develop deep learning models for medical imaging analysis
- Document research findings and publish
- Implement computer vision architectures
- Integrate multimodal data
- Preprocess and quality control medical imaging datasets
- Stay current with medical imaging AI and foundation models
- Validate models with statistical methods
Perks/Benefits
Skills/Tech-stack
3D Image Processing | 3D Medical Image Segmentation | Attention Mechanisms | Computer Vision | Contrastive Learning | Convolutional Neural Networks | Data integration | Deep learning | Distributed Training | GPU Optimization | Image Processing | Image Segmentation | Image normalization | Image preprocessing | Image registration | Medical Image Normalization | Medical Image Preprocessing | Medical Image Registration | Medical image segmentation | Multimodal Learning | Multiple Instance Learning | Neural Networks | NumPy | PyTorch | Python | SciPy | Scikit-learn | Self-Supervised Learning | Self-supervised | Supervised Learning | Vision Transformers | Weakly-Supervised Learning
Education
Roles
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