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AI Multimodal Foundation Model Internship
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- We are looking for passionate and autonomous PhD students who are within one or two years of their PhD graduation date to contribute to our innovative projects in the field of the multimodal foundation models for LLM, image, and clinical data analysis.
- T he students will work with a dynamic team who are pushing the boundaries of AI machine learning in the healthcare domain and building real-world products.
- PhD or Master's degree students who are within one or two years of their graduation date, with a focus on LLM and image multi-modal foundation models.
- Proficiency in PyTorch framework and the common NLP libraries (NLTK, spaCy, scikit-learn, etc.)
- Experience with state-of-the-art deep learning architectures (ViT/SWIN transformer, GPT, CLIP, etc
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