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Translational Medicine , Nature Methods , Journal of Clinical Investigation , Genome Medicine , and Bioinformatics . Why work for the University? The University of Colorado offers a comprehensive benefits package
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational
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., biology, ecology, evolution), strong bioinformatics skills, experience with analyzing eDNA, proven record of peer-reviewed publications, an ability to organize and lead field expeditions, and interest in
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in one or more of the following areas: protein engineering, structural bioinformatics, enzymology, and food chemistry. Strong communication skills, with the ability to work collaboratively in a
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-of-the-art core facilities for flow cytometry, genomics, and bioinformatics. This role provides a unique opportunity for an ambitious scientist to advance their career in translational immunology. This is a
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. Experience with multicolor flow cytometry. Experience with immunofluorescence high resolution imaging. Experience with bioinformatics tools and analyses. FLSA Exempt Full Time/Part Time Full Time Number
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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-on experience with CRISPR. • Proficiency in electrophysiology, calcium imaging, and/or multielectrode arrays. • Familiarity with machine learning, imaging analysis, and/or bioinformatics. Online Application
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flow cytometry, genomics, and bioinformatics. This role provides a unique opportunity for an ambitious scientist to advance their career in translational immunology. This is a full time post (35 hours