65 formal-method-phd Postdoctoral positions at The Ohio State University in United States
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; write progress reports and summarizes results; instructs others in methods and instruments; assist in preparation and writing of grant applications and manuscripts; assist in mouse colony management and
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turbulent flows, and computational methods; Strong written communication skills. Preferred Experience: Expertise in the fields of system identification, modal decompositions, transitional and turbulent flow
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biochemistry is preferred. Experience in RNA processing is desirable. Candidates should have a Ph.D. or MD/PhD in cell biology, cancer biology, molecular biology, or biochemistry. Knowledge and expertise in
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and mammalian cells as well as in protein and RNA purification methods. The position also requires participating in weekly meetings with the supervisor, submitting biweekly progress reports, attending
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undertaken. Minimum Required Qualifications: Ph.D. in wildlife management, biology/ecology, ecosystem or environmental science, or a related discipline At least 1 year post-PhD degree with experience
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microbiology, immunology, and cell biology research techniques and procedures including microscopy imaging; develops, adopts and implements new laboratory methods; analyzes and interprets data; writes research
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revised research methodology and techniques Plans and tests experimental designs, sampling techniques, and analytical methods Develops and establishes research controls, criteria and standards Performs
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and biomanufacturing challenges, mentor students, collaborate across disciplines, and help translate transformative research into real-world impact. Required Education: PhD in Chemical Engineering or
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the Comprehensive Cancer Center. Conducts research to characterize immunologic basis of human cancer using vitro and murine models; develops, adopts and implements new laboratory methods to achieve characterization
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. Required Qualifications: Ph.D. in Civil Engineering or Mechanical Engineering, ◦ Demonstrated proficiency in methods for infrastructure system modeling and monitoring, uncertainty quantification methods, and