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Field
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linguistics, educational linguistics) Research interests with relevance to critical sociolinguistic and educational perspectives on LLMs Interest in research and teaching projects related to the development
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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showing independence and innovation, and demonstrated academic writing and communication skills. Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis
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and communicate your ideas with AND without LLMs. You get excited about implementing your ideas. You are a team-player: you enjoy sharing ideas and solving puzzles together. You also enjoy digging in
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computational models for industrial capacity planning, logistics optimization, material flow analysis, and supply chain analysis. Apply artificial intelligence, machine learning, LLMs, and advanced statistical
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and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your ideas with AND without LLMs. You get excited about implementing your ideas. You are a team-player: you
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Language Models (LLMs) to systematically code rich qualitative case narratives. This AI-assisted case-survey method enables rigorous large-N cross-case comparison, preserving contextual depth. GAPS will
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Methods for Virtual Labs: Constructing interactive "virtual laboratories" where medical professionals can interact with, audit, and align LLM-powered medical agents with clinical guidelines
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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continual learning, active learning, reinforcement learning, closed-loop learning, or human-in-the-loop AI workflows. Experience with agentic AI frameworks, tool-using LLMs, workflow orchestration, AI