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Date: August 15, 2026 (negotiable) Specialty Areas: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan
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the Department of Surgery at the University of Michigan. This exciting new program is designed to support research education for general surgery residents interested in a career in abdominal transplant surgery or
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
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Apply Now How to Apply Please send a CV and research summary to tcernak@umich.edu Job Summary We are seeking a highly skilled computational expert to enhance our laboratory's capabilities in
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surveys, focus groups, organizational audits, and stakeholder convenings. Coordinate data collection, management, analysis, and interpretation to inform program development and institutional recommendations
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at the University of Michigan in Ann Arbor, the Quantum Research Institute (QRI) is recruiting outstanding postdoctoral researchers working across quantum information science, engineering, and technology (QISET). QRI
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high level of expertise through current scientific literature. Enhance the laborator's repertoire of techniques: Develop or import innovative techniques and experimental systems to meet research program
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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
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at the University of Michigan in Ann Arbor, the Quantum Research Institute (QRI) is recruiting outstanding postdoctoral researchers working across quantum information science, engineering, and technology (QISET). QRI