76 parallel-computing-numerical-methods Postdoctoral research jobs at The Ohio State University
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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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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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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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on the development and validation of a new humanized computational model of cochlear nerve responses to electrical stimulation under the mentorship of Dr. Ian Bruce. This work will integrate experimental data obtained
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microbiome informatics. The new hire would join the Sullivan Lab to develop new capabilities that would feed into the Center of Microbiome Science and it’s Microbiome Platform capabilities. The Post Doctoral
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program focused on patient centered outcomes research in cancer control. The position is structured to support training and research in the area of patient-centered outcomes research, with an emphasis
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cancer populations Research methods/design Basic statistical analyses Cognitive-behavioral therapy knowledge or experience Acceptance and commitment therapy knowledge or experience Research publications
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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering
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, Computer Science, or a related field Demonstrated expertise in quantitative, qualitative, or mixed-methods research methods. Experience with human subjects research, including data collection and analysis
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biological datasets. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential