46 parallel-and-distributed-computing-"Multiple" Fellowship positions at University of Michigan
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Planning is looking for a postdoctoral researcher in computational design and advanced knitting as part of the ASICS x Michigan Sport Innovation Center (AMSI). Reporting to Sean Ahlquist, associate
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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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, motivated early-career researcher interested in learning to collect, manage, analyze, and interpret data from multiple systems including mobile eye tracking, motion capture, and force plate posturography as
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study questions at multiple levels using genetically modified mouse models, preclinical mouse models, primary organoids, single-cell RNA-seq, proteomics, lipidomics, metallomics, standard molecular
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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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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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slow aging and extend the healthy lifespan in genetically heterogenous mice. The Kaczorowski lab utilizes cutting edge neuroanatomical, neuroimaging, computational, and behavioral genetic approaches
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primarily responsible for improving the phylogenomic understanding of Myrcia sect. Myrcia, a clade of about 160 species of neotropical distribution. The postdoc will also conduct a pilot study testing the
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, troubleshoot, and analyze experiments independently. This work will require researching and troubleshooting new techniques, validating findings with orthogonal methodologies, and linking multiple experiments
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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