Postdoctoral Data Analytics Computational Sciences
US026 PA Spring House - 1400 McKean Rd, United States
R
USD 79K-127K Mid-level Full Time
Tasks
- Collaborate with cross functional teams to advance algorithms
- Communicate technical methods and results
- Develop computer vision solutions for microscopy
- Extract features from unstructured microscopy images
- Implement state of the art computer vision techniques
- Prepare and draft scientific manuscripts
- Train and refine deep learning algorithms for histopathology
- Validate and optimize image analysis pipelines
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Holiday pay
- Life insurance
- Long-term disability
- Retirement plan
- Short-term disability
- Sick time
- Vacation time
- Vision insurance
Skills/Tech-stack
Adversarial Networks | 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 | Image Segmentation | Image analysis | Medical Image Analysis | Microscopy | Neural Networks | Panoptic segmentation | PyTorch | Python | Random Forest | Recurrent Neural Networks | Self-Supervised Learning | Self-supervised | Supervised Learning | Support Vector Machines | TensorFlow | Thresholding | Transformers | Vector machines | Weakly-Supervised Learning | Zero-Shot | Zero-shot Learning
Education
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