108 parallel-and-distributed-computing-"Multiple" research jobs at The Ohio State University
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Information Science and Engineering Department: ERIK | Center for Quantum Information Science and Engineering The Center for Quantum Information Science and Engineering (CQISE) is a University Center focused on Ohio
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Performs basic or applied research in the area of computational fluid dynamics and computational aeroacoustics, including problem setup, simulation and advanced post-processing for multiple projects
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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Cancer Care Program Department: CCC | Cancer Prevention Position Summary Clinical Research Assistant who provides daily operational support to the Total Cancer Care Program, TCCP, in the Comprehensive
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analytics, and identify new opportunities for interdisciplinary research and teaming. The successful applicant will work on multiple large, complex projects at a time with significant project responsibilities
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: Medicine | Neurology Job Description Summary To provide assistance in support of clinical research studies within the Department of Neurology/Division of Multiple Sclerosis Clinical Research Team with
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| Mechanical and Aerospace Engineering Performs basic or applied research in the area of computational fluid dynamics and computational aeroacoustics, including problem setup, simulation and advanced post
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(Academic) Required: Ph.D in engineering, public health, or closely related field; demonstrates ability to tailor complex ideas to multiple audiences: academic peers, policymakers, community groups
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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. This position involves the development, implementation, and refinement of computational tools and models to support both empirical and simulation-based studies. The ideal candidate will have a strong background