45 modal-analysis-artificial-intelligence Postdoctoral positions at The Ohio State University
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experience with remote sensing data and its analysis, and geospatial skills Strong statistical background Excellent English writing and verbal communication skills Ability to travel periodically for reports
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing
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expertise in educational and social science research methods, with a strong background in quantitative and/or qualitative analysis. Show evidence of experience in survey research, instrument development, and
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interest in non-coding RNAs desired. Strong software skills in Microsoft Word, Excel, and PowerPoint (or Keynote) are desired. Application Please submit the following to nakanishi.9@osu.edu. • CV including
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quantitative analysis, including management of behavioral and cognitive measures. Direct implementation of the AquOTic therapeutic protocol, delivering weekly evidence-based aquOTic sessions and conducting
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing
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research. The Postdoctoral Scholar – Pharmacometrics in the PhASR will support data collection, quality control of data, data analysis, modeling, simulation and PK/PD study design for human clinical trials
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engineering related research, makes and records observations and measurements, collects and compiles data for computer input and analysis, perform literature search on related topics, and operates and maintains
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. Responsibilities include developing and contributing to projects, investigating new phenomena, setting research priorities, conducting experiments, data analysis, literature reviews, and laboratory maintenance