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水平: Internship
工作类型: Internship
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工作内容
About The RoleWe are seeking a motivated and talented intern to join our AI research team, working at the intersection of computer vision, deep learning , and medical imaging . This internship offers a unique opportunity to contribute to cutting-edge research with real-world impact in healthcare, while also aiming for scientific publication .
You will be part of a multidisciplinary team focused on developing AI solutions for domains such as histopathology, minimally invasive surgery , and other medical imaging applications. Your work will help shape future products and technologies that improve patient outcomes.
Key Responsibilities
- Conduct research in image domain adaptation and computer vision for medical applications.
- Modify and experiment with neural network architectures , including state-of-the-art models related to Vision Transformers.
- Design and implement custom loss functions tailored to specific tasks.
- Select and curate experimental subsets from large datasets with rich metadata.
- Train and evaluate models for classification, object detection , and segmentation tasks.
- Document and communicate design choices with a view toward scientific publication and internal dissemination.
- Currently pursuing or recently completed a degree in Computer Science, Engineering , or a related field.
- Solid understanding of image processing, computer vision , and deep learning .
- Experience with frameworks such as PyTorch , OpenCV, LaTeX.
- Ability to work independently and make informed design decisions.
- Strong communication skills, especially in documenting and presenting research findings.
- Familiarity with medical imaging or healthcare-related datasets.
- Some exposure to representation learning techniques.
- Interest in bridging the gap between academic research and industry applications.
- A collaborative and intellectually stimulating environment.
- Mentorship from experienced researchers and engineers.
- Opportunity to contribute to peer-reviewed publications and real-world products .
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最后期限: 23-12-2025
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