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to the validation or modification of scientific theory or methodology relating to the topic area; result in important scientific knowledge; and are definitive of a specific topic area. The candidates will also
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interviews and video research), quantitative (survey development, descriptive/inferential statistics, application of Classical Test Theory or Item Response Theory, etc.), and/or mixed-methods (e.g., convergent
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, computational musicology and music theory, music cognition, spatial/immersive audio, generative music systems, human-computer interaction, machine improvisation, musical robotics, and/or new interfaces
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to contribute to the design of qualitative (e.g., semi-structured interviews and video research), quantitative (survey development, descriptive/inferential statistics, application of Classical Test Theory or Item
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coronaviruses; represent an important contribution to the validation or modification of scientific theory or methodology relating to the topic area; result in important scientific knowledge; and are definitive
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be able to work with faculty across the College of Arts and Sciences and the College of Engineering, specifically with faculty in the departments of math, physics, chemistry, electrical and computer
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. Ideally candidates will have expertise in both quantitative methodologies (e.g., structural equation modeling, multilevel regression, survey development validation, item-response theory, etc.) and
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(at least) of research experience in microbiology-related laboratories. Create a Job Match for Similar Jobs Logo About The Ohio State University Join Ohio State’s community.Together, we’ll create meaningful
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function. Duties will include conducting laboratory work centered around characterization of protein structure, dynamics and interactions; leading manuscript preparation for submission to peer-reviewed
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metallurgy; thermodynamic and kinetics modeling. Create a Job Match for Similar Jobs Logo About The Ohio State University Join Ohio State’s community.Together, we’ll create meaningful impact at a scale few