14 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions at University of Michigan
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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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Brain Cancer initiative, a cross-institutional program dedicated to translating technological breakthroughs into real impacts for brain cancer patients. Job Summary Brain cancers are one of our greatest
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Brain Cancer initiative, a cross-institutional program dedicated to translating technological breakthroughs into real impacts for brain cancer patients. Job Summary Brain cancers are one of our greatest
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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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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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of Michigan, directed by Ashley N. Gearhardt, Ph.D ., is seeking a Postdoctoral Research Fellow to join a multidisciplinary research program focused on the addictive potential of ultra-processed foods (UPFs
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functional MRI (fMRI), electroencephalography (EEG), and neuromodulation with low-intensity focused ultrasound (LIFU); computational analysis of fMRI and EEG data; development of new research methodologies
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, solid mechanics, and the dynamic of locomotion on soft substrates A strong background in computational research using Discrete Element Method and continuum mechanics simulations is preferred, while
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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential