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Linköping University and has 12 partner universities across Sweden. We are looking for two AI Infrastructure Application Experts to join the SELLMA project SELLMA (Swedish Large LLM Arena) is a national
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, integrate, and optimize Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG) pipelines, and related Al technologies to support clinical educational simulations, intelligent tutoring
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conduct, privacy, record-keeping, complaint resolution, and investigations. Proficiency with Canvas, various AI and LLM platforms, and AI detection tools. Proficiency with web and social media platforms
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Responsibilities of the selected candidate: a) Analyze large-scale textual datasets; b) Contribute to the development of new Large Language Model (LLM) artificial intelligence systems; c) Present the scientific
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Responsibilities of the selected candidate: a) Analyze large-scale textual datasets; b) Co-develop new Large Language Model (LLM) artificial intelligence systems in collaboration with the partners of the RegulAIze
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various computer vision systems for quality control in industrial environments Integration of fine-tuned and adapted LLMs and LVMs in edge-cloud architectures Design of Large AI Models (LAMs) for visual
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York University
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 27 days ago
training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https
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, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches
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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