88 software-formal-method-phd Postdoctoral research jobs at The Ohio State University
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, antibodies, and their complexes using techniques such as cryo-electron microscopy (cryo-EM), X-ray crystallography, and supporting biophysical methods. Responsibilities will include protein expression and
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shape output for a robotic fixation plate bender. This person will lead mechanical validation of robotic bent fixation plates to show they perform as simulated in VSP software. This person will
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of fields from cancer biology to immunology to neuroscience to transcriptomics. Plans and tests experimental designs and analytical methods. Develops and establishes research controls and standards
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of study in the fields of AI/ML, aerodynamics and acoustics, and computational methods. Demonstrated strong written communication skills. Required Experience: N/A Desired Experience: Doctoral degree in
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. The candidate will have the opportunity to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real
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Sauger, assessment of tributary spawning potential for invasive carp, movement of invasive carp in the Ohio River, fish community dynamics in Ohio streams, among others. Required: PhD in ecology, biology
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instrumentation. It involves supervising the research of graduate students and REU’s, conceiving, composing, writing and editing research proposals, scientific papers and research reports. Required Education: PhD
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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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variety of methods (quantitative and qualitative), and helping to hire, train, and oversee research assistants. A large focus of this role is on the analysis and dissemination of existing DoDVLS-related
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. Desired: Experience with beliefs and/or identity; demonstrates research interest(s) in one or more of the following areas: postsecondary education; beliefs; identity; qualitative; methods in STEM education