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Field
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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-end technologies (e.g., Node.js, Python/Django/Flask, REST APIs, SQL/NoSQL databases) Demonstrated knowledge of AI/ML methods, such as supervised learning, NLP, or deep learning, with application
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
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materials, electrolyte design, and battery chemistry. Additionally, we are committed to gaining a deep fundamental understanding of various battery systems. The Zhu laboratory is looking for postdoctoral
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, Software Engineering, or a related field. Demonstrated experience in deep learning and large language model research, joint modality representation learning, knowledge graph construction, particularly in
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materials, electrolyte design, and battery chemistry. Additionally, we are committed to gaining a deep fundamental understanding of various battery systems. The Zhu laboratory is looking for postdoctoral
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materials, electrolyte design, and battery chemistry. Additionally, we are committed to gaining a deep fundamental understanding of various battery systems. The Zhu laboratory is looking for postdoctoral