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Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and
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. Numerical Analysis and Scientific Computing, developing numerical methods and algorithms that are accurate, efficient, and robust with respect to challenges that manifest in the simulation of complex
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Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and Creative Applications Robotics, Human–AI Interaction, and Embodied Intelligence AI Systems and High
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following priority areas: Foundation Models and Large Language Models (LLMs) Machine Learning Theory and Algorithms, including Applications in Science and Industry Generative AI and Creative Applications
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to teach graduate and undergraduate courses related to programming languages (Java/C/C++), data structures and algorithms, operating systems, databases, security, visualization, AI/ML, human-computer
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, clinical assay pipelines. Intelligent Pharmaceutical Manufacturing – AI-driven continuous flow, quality by design, PAT sensors. Organoid-based Druggability Evaluation – 3D human-relevant disease models
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required. English fluency is required. Candidates should be able to teach graduate and undergraduate courses related to programming languages (Java/C/C++), data structures and algorithms, operating systems
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algorithms, operating systems, databases, security, visualization, AI/ML, human-computer interaction, and social computing. For the tenure-track Assistant Professor position, applications from early-career
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required. English fluency is required. Candidates should be able to teach graduate and undergraduate courses related to programming languages (Java/C/C++), data structures and algorithms, operating systems
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open to all areas in Computer Science including those areas related to Networked, Mobile and Sensor Systems, Blockchain and Web3, Computer and Information Security, Agents and HCI; Strong background in