1,036 parallel-processing-bioinformatics-"Multiple" positions at University of Minnesota
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Previous Job Job Title Non-Exempt Temporary or Casual - Space Physics Computer Analysis (Dombeck) Next Job Apply for Job Job ID 368597 Location Twin Cities Job Family Supplemental Employee Full/Part
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Experience in customer service and managing relationships with multiple stakeholders About the Department To learn more about the Department of Orthopedic Surgery, please visit: med.umn.edu/ortho . Pay and
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relevant information. We need a motivated individual with a background in computer science, bioinformatics, or related fields, to write computer programs to carry out such tasks in an efficient manner
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on mechanisms of neurodegeneration in the context of demyelinating diseases such as multiple sclerosis. They will be trained and perform a wide range of cell and molecular biology techniques facilitating
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Summary: This position involves the testing, evaluation and application of advanced bioinformatics tools for analysis
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the University, UMP, and Fairview systems • Coordinate domestic and international travel for the Chair and visiting faculty; process reimbursements and expense reports • Draft professional correspondence and
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bioinformatics experience for gene expression and protein identification Outstanding communication skills and demonstrated expertise with writing and publishing in international peer-reviewed journals Preferred
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9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Dr. Alexander Khoruts is looking to hire a postdoctoral associate to assist them with bioinformatics related
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projects focused on patient-provider communication and health equity. This role is ideal for someone with research experience who thrives in a collaborative environment, is comfortable managing multiple
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Proteomics (anticipate approximately 5% time on this project) LC-MS/MS proteomics bioinformatics. multi-omics integrations. Project 5. Osteosarcoma integrated single cell transcriptomics and spatial genomics