10 software-verification Postdoctoral positions at The Ohio State University in United States
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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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species responses to climate change and human caused landscape alteration. Use analytical tools (Geneious and R software, or similar programs) to analyze and summarize genetic data, prepare presentations
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well as compiling and presenting experimental results in the form of figures, tables, and written reports using appropriate software tools. Additional responsibilities include contributing to the preparation
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, integrate, and analyze data, develop open-access software tools, and prepare manuscripts for interdisciplinary projects related to soybean plant pathology and epidemiology in Ohio. The candidate will also
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; modeling bumble bee species responses to climate change and human caused landscape alteration. Use analytical tools (Geneious and R software, or similar programs) to analyze and summarize genetic data
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for single-molecule imaging. Programming experience in e.g. MATLAB/Python/LabVIEW for data analysis and software experimental control is required. Additional Information: The College of Arts and
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of population and community modeling or coding. The Post Doctoral Scholar should have demonstrated ability to analyze population or community datasets using statistical software, such as R, data management skills
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NOvA and DUNE, as well as in the combined oscillation analyses between NOvA and T2K. The Post Doctoral Scholar will take a leading role in data analysis, calibration, operations, and software development
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in bioanalytical spectroscopic and spectrometric analyses is desired. Strong software skills in spectroscopic analysis is desired. Additional Information: The College of Arts and Sciences is the
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literacy coach. Experience using classroom observation tools/coding schemes/coding software for research purposes. At least 3 years of experience working on federally funded (ideally IES-funded) research