Postdoctoral Data Analytics Computational Sciences
US026 PA Spring House - 1400 McKean Rd, United States
R
USD 79K-127K Entry-level Full Time
Tasks
- Apply deep learning algorithms to quantitate histopathology
- Collaborate with scientists engineers and clinicians
- Communicate technical methods and research findings
- Define research scope with collaborators
- Develop computer vision solutions for microscopy
- Extract insights from histopathology images
- Implement state of the art computer vision techniques
- Prepare and draft manuscripts for scientific publication
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Networks | Color Transformation | Computer Vision | Confocal microscopy | Convolutional Neural Networks | Deep learning | Edge detection | Few-Shot Learning | Few-shot | Fluorescence microscopy | Foundation Models | Generative Adversarial Networks | Histopathology | Image Processing | Microscopy | Morphological Processing | Neural Networks | Panoptic segmentation | PyTorch | Python | Random Forest | Recurrent Neural Networks | Self-Supervised Learning | Self-supervised | Supervised Learning | Support Vector Machine | TensorFlow | Thresholding | Transformers | Weakly-Supervised Learning | Zero-Shot | Zero-shot Learning
Education
Roles
Data Scientist | Postdoctoral Researcher | Researcher | Scientist
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