35 formal-methods Postdoctoral positions at The Ohio State University in United-States
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with a major in mechanical engineering. Required Qualifications Expertise in the fields of turbulent flow dynamics, aeroacoustics, and computational methods; Strong written communication skills through
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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
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on using unstructured and overset meshes with high-fidelity algorithms to obtain scale-resolved data. Candidate will also post-process data using data-driven and physics-driven methods to extract fundamental
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Doctorate (Academic) or equivalent with a major in mechanical engineering. Required Qualifications Expertise in the fields of turbulent flow dynamics, aeroacoustics, and computational methods; Strong written
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to some extent to publish our first article. The Post Doctoral Scholar in collaboration with the supervisor will work on a second journal article to discuss strategies and methods by marginalized energy
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care, and population health. BMI faculty and trainees develop and apply cutting-edge computational methods, artificial intelligence, and data integration strategies to transform complex biomedical data
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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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working with the theories and method of linguistic anthropology Knowledge of ethnographic methods Research on language and gender Experience with collaborative and public-facing research projects Additional
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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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interested in candidates who have strong skills in quantitative methods, causal research designs, and have experience working with large administrative datasets. We desire applicants with the potential