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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Position Overview We are seeking a highly motivated Research Fellow to join our research team focusing
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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drugs, and related ontologies. • Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs). • Manage the storage and retrieval
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a highly motivated Research Fellow to lead AI for Science
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requirements: Candidates must hold, at the time of application, a Bachelor’s degree in Informatics Engineering or related fields. Candidates must also have knowledge in: i. Deep Learning and LLMs: practical
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, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities
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subtypes. Build and evaluate retrieval-augmented generation (RAG)-based large language models (LLMs) pipelines to extract key entities, relationships, and concepts from peer-reviewed literature, clinical
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. This includes the development of novel applications of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a hands-on Research Fellow whose role will focus