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questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State
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, present at conferences, and contribute to data sets and code repositories. Position Requirements Required Skills, Knowledge and Experience: Ph.D. (received within the last 0–5 years or by start date) in
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questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open
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stability assessment, and control design. Familiarity with CIGRE benchmark systems for power system stability testing. Industrial experience in wind power integration, grid code compliance, or energy system
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integrating qualitative and quantitative data (mixed methods). • Ability to work collaboratively across disciplines and with stakeholders. • Experience with coding software for qualitative data analysis
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accordance with the provisions of the German Social Code IX. In case of further queries regarding gender equality, please do not hesitate to contact our Equal Opportunities Officer. “Diversity in perspectives
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling