Artificial Intelligence Researcher

3 days ago

Varanasi, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 12,00,000 - ₹ 20,00,000

Scientific Computing Specialist

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We are seeking a highly motivated researcher with expertise in machine learning and scientific computing to contribute to the development of innovative computational methods for biomedical image analysis.

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The ideal candidate will collaborate with cross-disciplinary teams to design, develop, and optimize deep learning models for cancer classification and spatial mapping using digitized H&E slides.

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This role is well-suited for researchers aiming to apply advanced computational methods to complex biomedical challenges.

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Key Responsibilities:

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• Design, implement, and train convolutional neural networks (CNNs) and related ML models on large datasets of H&E-stained histology images.

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• Develop and utilize tools such as QuPath for cell annotations, segmentation models, and dataset curation to support model training and validation.

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• Preprocess, annotate, and manage large image datasets to ensure high-quality input data for model training and validation.

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• Collaborate with multidisciplinary teams to integrate image-based predictions with molecular and clinical data.

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• Analyze model performance and contribute to improving accuracy, efficiency, and robustness.

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Requirements:

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• PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related discipline.

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• Demonstrated research experience in machine learning, deep learning, or biomedical image analysis.

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• Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.

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• Familiarity with digital pathology workflows, image preprocessing/augmentation, and annotation tools.

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• Ability to work collaboratively in a multidisciplinary research environment.

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Preferred Qualifications:

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• Background in cancer histopathology or biomedical image analysis.

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• Knowledge of multimodal data integration, including spatial transcriptomics.

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