71 wireless-communication Postdoctoral research jobs at The Ohio State University in United States
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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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team environment. Excellent written and oral communication skills, with a strong publication record in peer-reviewed journals. Experience in computational modeling or structure-based design is desirable
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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication
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. Strong written communication skills. Strong written communication skills. Desired: Self-motivated and able to work in a team with minimal supervision. Location: Dreese Laboratories (0279) Position Type
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, including bioinformatics, bacterial community profiling, microbial ecology, metagenomics, and multivariate statistics. They must also have experience working with arboviruses (e.g. viral culture, in vivo
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-reviewed publications and strong written and oral communication skills, including the ability and desire to interact with Great Lakes stakeholders and database managers/developers from diverse international
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; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community
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data • Excellent analytical and troubleshooting skills • Strong communication skills; team-orientated with focus on achieving team goals • High level of motivation and independence in pursuing
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community ecology, bryophyte taxonomy, and species distribution models. The results of the work will be used to direct bryophyte conservation efforts. Required: Ph.D. degree in a field of biological sciences
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. Possess excellent verbal and written communication skills in English. Exhibit research interest in areas such as STEM higher education, graduate student and faculty retention, mixed methods research