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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
collaborate on planned research tasks. Strong knowledge of modern AI tools and technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g
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, including but not limited to: Azure AI services, Copilot Studio and related tools for building chatbots, agents, and automated workflows, on-premises AI/LLM servers and open-source models, including
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to develop and
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/Revision/PEMT output by using automatic speech tools and LLMs", and "Cognitive investigations of Translation/Revision/PEMT practices" research themes. The candidate will have access to the HAITrans eye
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responsible integration of AI code assistants (e.g. GitHub Copilot, ChatGPT, Claude, Gemini, open-source LLMs) in professional software engineering workflows. The research focuses on analysing security and
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Artificial Intelligence (AI) on the Language Services Industry", "Improving the quality of Translation/Revision/PEMT output by using automatic speech tools and LLMs", and "Cognitive investigations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will
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imaging, both in vitro and in vivo. Develop, optimize, and maintain image analysis scripts and tools using Matlab/Python/LLMs (segmentation, quantification, post-processing), in line with the needs
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will include (but are not limited to) survey data collection, using LLMs to design experimental treatments, conducting pilot interviews and exit polls, literature reviews, subject recruitment, data
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH