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of LLM. The fixed-term position starts on mutual agreement, and the duration of the employment is 2 years (24 months). Job description This is a two-year, fully funded postdoctoral researcher position
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) Beyond LLMs (ARC-AGI-3 Focus) (m/f/d) to join the Artificial Intelligence for Scholarly Communication Research Group (Prof. Dr. Sahar Vahdati) at the earliest possible date. The position is initially
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of Large Language Models (LLMs) for scientific use cases. This position focuses on advancing LLM capabilities to address complex challenges across a range of scientific domains. As part of a
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Job related to staff position within a Research Infrastructure? No Offer Description Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs
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science, biomedical informatics, or a related field. The position is embedded in the Cluster of Excellence “Precision Medicine in Chronic Inflammation” (PMI) and contributes to RTF-VIII Area 1b – LLM Data
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Post-Doctoral Research Visit F/M Postdoctoral position in web security, privacy, and online tracking
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days agoopaque tracking techniques (e.g., server-side tracking, identity graphs...). Simultaneously, the development of AI and LLM is having a tremendous impact on the web by modifying its structure to better suit
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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies
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integrate large language models, multilingual AI, and confidential HPC to support patients and clinicians in real-world healthcare environments. You will lead research on trustworthy and aligned LLMs
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development