67 parallel-computing-numerical-methods Postdoctoral positions at The Ohio State University
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                imaging; develops, adopts and implements new laboratory methods; analyzes and interprets data; writes research papers for publication; performs scientific literature searches; presents research findings 
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                This position researches theoretical and experimental methods for development and use of microfluidic and nanofluidic approaches towards understanding which viruses in natural samples interact with bacteria 
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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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                related to childhood asthma and the indoor microbiome; conducts quantitative studies, engages with development and validation of assessment tools, and conducts qualitative methods to code interviews with 
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                immunology research techniques and procedures; develops, adopts and implements new laboratory methods; analyzes and interprets data; writes research papers for publication; performs scientific literature 
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                Sciences | Microbiology Administration This position researches theoretical and experimental methods for development and use of microfluidic and nanofluidic approaches towards understanding which viruses in 
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                structural biology approaches including cryo-EM, X-ray crystallography, and electrophysiology with biochemical, biophysical, and cell biological methods to investigate how myosin motor function in heart 
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                high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering 
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                or pedagogy Desired: Experience in quantitative research methods focusing on biological teaching and success; experience with SPSS, R, Qualtrics, and Tableau software; experience collaborating 
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                . The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including