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3 days ago
AI Researcher (Histopathology Image Analysis)
Job Overview:
We seek a highly motivated researcher to contribute to the development and optimization of deep learning models for analyzing digitized histology images.
The ideal candidate will collaborate with our multidisciplinary team to apply advanced computational methods to biomedical challenges.
Key Responsibilities:
• Design, develop, and train convolutional neural networks (CNNs) on H&E-stained histology images.
• Use and extend tools such as QuPath for cell annotations, segmentation models, and dataset curation.
• Preprocess, annotate, and manage large image datasets to support model training and validation.
• Integrate image-based predictions with molecular and clinical data.
• Analyze model performance and contribute to improving accuracy, efficiency, and robustness.
Required Skills and Qualifications:
• PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or related field.
• Demonstrated research experience in machine learning, deep learning, or biomedical image analysis.
• Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
• Familiarity with digital pathology workflows, image preprocessing/augmentation, and annotation tools.
PREFERRED QUALIFICATIONS:
• Background in cancer histopathology or biomedical image analysis.
• Knowledge of multimodal data integration, including spatial transcriptomics.
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