82 structural-reliability-analysis Postdoctoral positions at The Ohio State University
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with purified proteins and RNAs; and preparing samples for structural determination by cryo-EM. The postdoc will receive training from current lab members in culturing insect and mammalian cells as
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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
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. Participates in experiment design and evaluation; executes experiments; performs data analysis; reports to principal investigator (PI); Develops new methods for research; develops and details understanding
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% of expected effort). Much of this research will be done in collaboration with an industry partner, so an ability to interface with the private sector is desired. They will also lead analysis of existing
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, data analysis, and scientific communication. Interested applicants should submit a CV and a cover letter that explains desired research direction. Minimum Education Required PhD in chemistry, physics
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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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for this Postdoctoral Scholar position, candidates must possess a Ph.D. in Neuroscience or relevant field requires applicants to demonstrate strong research skills, data analysis proficiency, and statistical expertise
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assisting in collaboration projects in biomedical science. In particularly, this Post Doctoral Scholar will develop new AI methods in advancing natural language processing analysis for text data, build
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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab