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Field
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mathematics/statistics/computer science, willing to specialize their research on large language models (LLMs). The successful candidate will contribute to the development of trustworthy LLMs by focusing
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, deep learning, generative AI, multimodal AI, and LLM. Experience in the integration of artificial intelligence and decision-making. Strong publication record in top-tier conferences and journals
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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foundation models or scientific LLMs Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before
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of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in design and very good programming skills (Python, Pytorch
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description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction
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learning analytics, with a focus on the deployment of eye-trackers or fNIRS devices; creating end-to-end prototypes of AI systems, including LLM integration, backend development, and interface design and
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Qualifications: Experience with multimodal AI, large language models (LLMs), or retrieval-augmented systems Familiarity with high-performance computing (HPC) and distributed training environments Experience with
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the feasibility of prototyping an LLM-driven interactive GUI that auto-configures key inputs (e.g., Slater parameters), enabling a closed loop from model setup to analysis for accelerated studies of new materials
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intelligent transportation systems (ITS), with an emphasis on developing and deploying state-of-the-art Large-Language Models (LLMs), Vision-Language Models (VLMs), and Vision-Language-Action (VLA) models