Postdoctoral Data Analytics Computational Sciences
ES010 Johnson Barcelona, Spain
R
EUR 53K-84K (estimate) None Full Time
Tasks
- Apply deep learning to histopathology images
- Collaborate with scientists engineers and clinicians
- Communicate technical methods and findings
- Define scope of research questions
- Develop computer vision solutions for microscopy
- Extract insights from unstructured microscopy images
- Implement state of the art computer vision techniques
- Prepare and draft scientific manuscripts
- Refine deep learning algorithm portfolio for tissue quantification
Perks/Benefits
Skills/Tech-stack
Adversarial Networks | Color Transformations | 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 | Morphological Processing | Neural Networks | Panoptic segmentation | PyTorch | Python | Random Forests | Self-supervision | Supervised Learning | Support Vector Machines | TensorFlow | Thresholding | Transformers | Vector machines | Weakly-Supervised Learning | Zero-Shot | Zero-shot Learning
Education
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