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AI for cultural heritage within the NARRATIA project. Activities will include Knowledge Graph-Based Narratives, RAG/GraphRAG integration with LLMs, personalised narrative generation, provenance
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of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods
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National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | 3 months ago
science data, including scientific papers, experimental data/images, and crystal structures. Specifically, the candidate will be responsible for the continuous pre-training and fine-tuning of LLMs using our
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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partners. Writing, submitting, and publishing in scientific journals are expected. Where to apply Website https://utc.recruitee.com/o/detection-danomalies-visuelles-complexes-par-appren… Requirements
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& Imaging Sci Posting Number req27242 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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. Design methods for security analysis and verification of shared data and models. Develop tools for data processing, LLM training and security evaluation. Write research papers. Other duties as assigned
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platforms. Advanced Computational Biology & Software Engineering: Learning how to develop computational biology software using both traditional coding suites and emerging AI/Large Language Model (LLM) tools
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, Computer Science, Communication, Media Management, Business, Digital Media, or a closely related field (a doctoral degree is preferred). Demonstrable hands-on experience with generative AI/LLMs, AI agent development