10 parallel-and-distributed-computing-"Multiple" Postdoctoral positions at Washington State University
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slices. Analyze and interpret experimental data using appropriate statistical and computational methods. Maintain meticulous electronic laboratory notebooks, detailed experimental records, and inventory
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ex vivo and in vitro studies using primary cells, organoids, and tissue slices. Analyze and interpret experimental data using appropriate statistical and computational methods. Maintain meticulous
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of the Principal Investigator, as the Postdoctoral Research Associate you will join a dynamic, interdisciplinary research program focused on improving behavioral health outcomes for individuals with substance use
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computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization
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of statistical software. Excellent interpersonal, written, and verbal skills. Ability to assist with research with a high degree complexity Ability to effectively handle multiple, complex issues effectively and in
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skills. Ability to assist with research with a high degree complexity Ability to effectively handle multiple, complex issues effectively and in a timely manner. Demonstrated experience analyzing complex
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land grant, multiple-campus Research 1 institution. This position will serve on the Pullman campus, which has an enrollment of around 20,000 students and is located in Southeastern Washington
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hydrogels. About Pullman: Washington State University, a land grant, multiple-campus Research 1 institution. This position will serve on the Pullman campus, which has an enrollment of around 20,000 students
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: Proficient with Python, R, and Linux/Unix systems. Strong skills in computer scripting and pipeline development. Experience in project management Experience in network analyses. Previous post-doctoral
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of benefits for WSU Faculty and Total Compensation . Required Qualifications: Candidates should have earned a Ph.D. degree in Bioinformatics, Computational Biology, Biostatistics, or Data Science, A proven