Advanced Machine Learning Expert

4 days ago

Rajkot, Gujarat, India beBeeMachineLearning Full time ₹ 8,00,000 - ₹ 15,00,000
Job Opportunity: Advanced Machine Learning Expert

We are seeking a highly skilled PhD candidate to contribute to the development and optimization of deep learning models for analyzing digitized H&E slides in histopathology image analysis.

This role is ideal for researchers who aim to apply advanced computational methods to biomedical challenges, particularly in cancer classification and spatial mapping.

The successful candidate will be responsible for:

  • Designing, developing, and training convolutional neural networks (CNNs) and related machine learning models on H&E-stained histology images.
  • Utilizing and extending tools such as QuPath for cell annotations, segmentation models, and dataset curation.
  • Preprocessing, annotating, and managing large image datasets to support model training and validation.
  • Collaborating with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data.
  • Analyzing model performance and contributing to improving accuracy, efficiency, and robustness.
  • Documenting research findings and contributing to publications in peer-reviewed journals.
Required Skills and Qualifications

To succeed in this position, you should have:

  • A PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a 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.
  • Ability to work collaboratively in a multidisciplinary research environment.

We prefer candidates with background in cancer histopathology or biomedical image analysis, as well as knowledge of multimodal data integration, including spatial transcriptomics.

This is an excellent opportunity to apply your expertise and contribute to advancing medical imaging analysis. We look forward to hearing from you.

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