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engineering Background in deep learning, computer vision, LLMs, visual language models, agentic AI, AI system design. Equipment Utilized Physical Demands and Work Environment Special Conditions Posting Details
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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. The University of Michigan offers an exceptional environment for computational and data-driven pharmaceutical sciences. Faculty benefit from world-class resources in artificial intelligence, machine learning, high
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Assistant/Associate Professor of Practice in Human-AI Interaction, Machine Learning, and Data Design
developing, training, and deploying advanced AI, data, and machine learning systems from a human-centered innovation lens. Preference will be given to candidates whose background includes i) experience
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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for latent variables and their connections to modern machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates
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individuals and through mass media. Ability to use the computer for program delivery and management. Ability to visit clientele at sites throughout the county. Ability to plan and teach educational programs
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and management. Ability to visit clientele at sites throughout the county. Ability to plan and teach educational programs. Demonstrated leadership and ability to serve as a positive role model. Does
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to plan and teach educational programs. Demonstrated leadership and ability to serve as a positive role model. Does this position have supervisory responsibilities? Yes Preferred Education/Experience
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of interest supporting the instructional needs in our major, minor, and university-wide electives. Specific areas of need are spreadsheet modeling and analysis, machine learning, and project-based capstone