124 big-data-and-machine-learning-phd Postdoctoral research jobs at The Ohio State University
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. The candidate will have the opportunity to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real
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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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for employment without regard to age, ancestry, color, disability, ethnicity, gender, gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy, race
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to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real-world evidence on the use
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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, with potential for renewal based on funding and performance. Additional Information: PhD in Molecular Biology, Biochemistry, Molecular Epidemiology, Evolutionary Biology, Bioinformatics, Biostatistics
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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 Department: Medicine
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support the laboratory maintenance. Additional Information: Minimum Required Education PhD in relevant field Location: Parker Food Science and Technology (0064) Position Type: Term (Fixed Term) Scheduled
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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 Department: Arts and
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. Proficiency in R (or Python or Stata), including experience with data management, spatial analysis, geocomputation. Experience working with large, complex datasets, including Consumer Reference Datasets (CRDs