21 finite-element-analysis Postdoctoral positions at The Ohio State University in computer-science
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. Research activities may include common- and rare-variant association studies, survival and longitudinal analysis, multi-state disease modeling, polygenic risk prediction, gene-environment interaction, cross
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or equivalent degree required. Preferred Qualfications Significant experience in behavior testing and bioinformatic data analysis is preferred. Additional Information: Location: Biomedical Research Tower (0112
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research experience, with strong experimental design and data analysis skills - Excellent written and verbal scientific communication skills - Ability to work effectively and collaboratively within a
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of Biomedical Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in identifying new biomedical data 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
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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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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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, and close collaboration with experimental and clinical teams. Primary Responsibilities · Lead computational analysis of large-scale multi-omics datasets, including transcriptomic, epigenomic (DNA
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. Experience with conjoint analysis (e.g., discrete choice experiments and best-worst scaling), experience with large scale survey and retail data, portfolio in substance use or other health-related areas, and