38 parallel-processing-bioinformatics Fellowship research jobs at University of Michigan
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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victor for the greater good. What Benefits can you Look Forward to? Excellent medical, dental and vision coverage effective on your very first day Responsibilities* Collect and process tissue samples
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molecular biology topics, including neurodevelopment and neurodegeneration, glial biology and bioinformatics. Using a combination of single-cell omics and genetic tools, we particularly focus on exploring
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associations with patient phenotypes. To conduct bioinformatics data analysis on single-cell and spatial genomics, and bulk level RNA-Seq, CHIP-Seq, ATAC-Seq analysis for diseases such as cancers. To build
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obtained scRNA seq data from our DMG models and are seeking a qualified postdoc with expertise and data analysis and bioinformatics. The candidate is expected to design and perform experiments to accomplish
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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compliance with the Fair Credit Reporting Act. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after
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computational biologists within the group to analyze the datasets with innovative approaches, and to broadly collaborate within the Department of Computational Medicine and Bioinformatics, Michigan Medicine, and