Postdoctoral Data Analytics Computational Sciences
ES010 Johnson Barcelona, Spain
R
EUR 60K-96K (estimate) Entry-level Full Time
Tasks
- Apply state of the art computer vision techniques
- Collaborate with scientists engineers clinicians
- Communicate technical methods and findings
- Define scope of research questions
- Develop computer vision solutions for microscopy
- Extract insights from unstructured microscopy images
- Implement deep learning algorithms for histopathology quantification
- Prepare and draft manuscripts
- Refine deep learning algorithm portfolio
Perks/Benefits
Skills/Tech-stack
Adversarial Networks | Clinical trials | Color Transformation | Computer Vision | Confocal microscopy | Convolutional Neural Networks | Deep learning | Drug Discovery | Edge detection | Few-Shot Learning | Few-shot | Fluorescence microscopy | Foundation Models | Generative Adversarial Networks | Histopathology | Image Processing | Image analysis | Medical Image Analysis | Morphological Processing | Multimodal AI | 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
Roles
Postdoctoral Researcher | Research Scientist | Researcher | Scientist
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