29 verification-computer-science Postdoctoral research jobs at University of Washington
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG), Experimentation, Genome-Wide Association
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, and community outreach. The postdoc will join a cohort of graduate students and postdocs across Earth Science, Environmental Engineering, Data Science and Statistics, Microbiology, and Anthropology
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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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of scientific studies. Applicants with a strong background in computational biology are encouraged to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis
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measurement. Additional duties involve microbial population analysis (16sRNA), chemistry analysis (N, P, metals), and statistical modeling. The role also entails lab management, including cleaning and safety
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, Experimentation, Flow Cytometry, Immunohistochemistry (IHC), Informatics, In Vitro Assays, In Vivo Assays, Laboratory Operations, Laboratory Techniques, Molecular Biology, Omics, Python (Programming Language
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genetics and genomics, with expanded interests in computational biology, functional genomics, and neuroscience. Example projects within the university and with external partners: • Noncoding Variation in
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consortium involvement in the Undiagnosed Diseases Network, Genomic Information Commons, and the Impact of Genomic Variation on Function. We are seeking a skill set in cell culture experiments, including
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and