35 parallel-processing-bioinformatics research jobs at Zintellect in computer-science
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). Research Project: You will engage in bioinformatic and transcriptomic research to characterize viral evolution and host responses during BVDV infection. You will have access to advanced molecular
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pathology, bioinformatics, comparative evolution and other areas. You will also have opportunities to attend scientific conferences for presenting the research results and establish collaborative networks
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Products. A current research project evaluates the role of microbes in texture losses of vegetables during processing and long-term storage. You will participate in all aspects of scientific research and
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., enhancers, promoters) in focal species. Customize bioinformatics pipelines for automated processing and analysis of short- and long-read sequencing data. Apply computational approaches to detect genetic and
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operation components of the Department of Health and Human Services. CDC protects America from health, safety and security threats, both foreign and in the U.S. Whether diseases start at home or abroad
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interdisciplinary research teams on quantitative analyses of complex genomic datasets; Learn to use remote, high powered computer clusters to process large datasets. Mentor: The mentor for this opportunity is Adam
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about the application process, please email [email protected] and include the reference code for this opportunity. Qualifications The qualified candidate should be currently pursuing or have
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of inland Pacific Northwest. You will focus on impacts of agricultural practices on soil chemical and physical properties, biogeochemical processes that influence carbon and nitrogen dynamics and cycling
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analyses. Learning Objectives: By collaborating closely with members of our interdisciplinary research team, you will gain invaluable hands-on experience to all phases of the research process. You will
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of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects