20 multiple-sequence-alignment Fellowship positions at University of Michigan

  • single cell sequencing or spatial omics data strongly preferred. Strong publication record and written communication skills. Desired Qualifications* Expert in graph based, multiple instance learning, large

  • University of Michigan | Ann Arbor, Michigan | United States | 11 days ago

    , troubleshoot, and analyze experiments independently. This work will require researching and troubleshooting new techniques, validating findings with orthogonal methodologies, and linking multiple experiments

  • University of Michigan | Ann Arbor, Michigan | United States | 11 days ago

    analyses of kidney tissue by immunohistochemistry (IHC), immunofluorescence (IF), RNA-sequencing, scRNA-seq and spatial transcriptomics; analysis or urine and blood samples. - Perform tissue culture

  • related field. Desired Qualifications* Experience working with plants and/or genome sequencing/whole genome re-sequencing. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are

  • University of Michigan | Ann Arbor, Michigan | United States | about 2 months ago

    of the nation's leading research universities. Responsibilities* Research Leadership & Project Management Lead day-to-day research activities aligned with the two-phase project, including designing and implementing

  • University of Michigan | Ann Arbor, Michigan | United States | about 1 month ago

    oral and written communication skills. Desired Qualifications* In vivo research experience with rodents and human tissues. Experience with next generation sequencing analyses is preferred. Modes of Work

  • University of Michigan | Ann Arbor, Michigan | United States | about 1 month ago

    system is mouse digit regeneration, which stands as one of the few examples of complex tissue regeneration in mammals. We study conserved genes and regulatory sequences that control regeneration and

  • models Model human alignment, relating model behavior to behavioral (and potentially neural data) data The overarching goal is to produce rigorous, high-impact work that treats language models as

  • University of Michigan | Ann Arbor, Michigan | United States | 3 days ago

    study questions at multiple levels using genetically modified mouse models, preclinical mouse models, primary organoids, single-cell RNA-seq, proteomics, lipidomics, metallomics, standard molecular

  • . The position leverages a broad range of approaches - including molecular genetics, RNA sequencing, FACS, biochemistry, confocal imaging, and behavioral analyses - along with integrative -omics workflows

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