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1 week ago
We are seeking a skilled PhD candidate with expertise in machine learning for histopathology image analysis. As a Machine Learning Scientist, you will be responsible for developing and optimizing deep learning models to analyze digitized H&E slides for cancer classification and spatial mapping.
This role is ideal for researchers who wish to apply advanced computational methods to biomedical challenges.
- You will design, develop, and train convolutional neural networks (CNNs) and related ML models 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.
- Collaborate with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data.
- Analyze model performance and contribute to improving accuracy, efficiency, and robustness.
To be successful in this position, you should have the following qualifications and skills:
- PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related discipline.
- 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.
- Able to work collaboratively in a multidisciplinary research environment.
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2 weeks ago
Bareilly, Uttar Pradesh, India PureSpectrum Full timeWho We Are:PureSpectrum is a rapidly growing market research and insights platform. We simplify technology for researchers so they can gather and use consumer data the way they want – without disruption.PureSpectrum currently facilitates more than 65 million online interviews annually through our Marketplace. PureSpectrum also developed the industry's...