Postdoctoral Data Analytics Computational Sciences

Tasks

• Collaborate with cross functional scientists engineers and clinicians
• Communicate technical methods and results to stakeholders
• Define research scope and collaborate externally
• Develop computer vision solutions for microscopy
• Extract insights from unstructured microscopy images
• Implement state of the art techniques for medical image analysis
• Prepare and draft scientific manuscripts
• Refine deep learning algorithms for histopathology quantification

Perks/Benefits

• N/A

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 analysis | Medical Image Analysis | 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