43 parallel-processing-bioinformatics Fellowship research jobs at University of Michigan
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Genetics in the laboratory of Dr. Steve Parker in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics at the University of Michigan (http://theparkerlab.org ). We
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, super-resolution confocal microscopy, bioinformatics, gene therapeutic applications), neuroimmunology, glial biology, and synaptic or immune signaling pathways are strongly encouraged to apply, although
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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. Excellent written and verbal communication skill Ability to work independently and as part of a team. Preferred but not required: expertise in bioinformatics for scRNA-seq data analysis (e.g., Seurat, Cell
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Experience in mouse modeling in cancer Experience in flow cytometry Experience in bioinformatics Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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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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bundle platform we developed to increase rigor of structure-function quantifications. We also perform CRISPRa high throughput screening and massively parallel reporter assays (MPRAs) in iPSC-CMs. A current
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. The incumbent must be able to use sophisticated design, simulation and fabrication facilities and resources available and seek access to new design, development, processing and testing capabilities as appropriate
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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 posting. This opening
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48109-2125 Job Summary Manufacturing is a highly complex field involving materials, machines, and processes that interact in ways we often don't fully understand. This complexity poses a significant