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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
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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: Veterinary
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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 technology and
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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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on large-scale genetic data analysis, risk prediction, single-cell RNAseq, and implementation of methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have
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science or related field with experience in big data collection, organization and statistical analyses; highly motivated individuals who enjoy working in a productive, interdisciplinary collaborative group
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prevention in high-risk individuals, and tailor treatment based on individual genomic differences. The research specialist will work on large-scale genetic data analysis, risk prediction, single-cell RNAseq
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Dementias to improve diagnostics, quality of life and treatment options for those with neurodegenerative diseases. The Postdoc will work with large scale genomic and genetics data, including Next Generation
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grants on which Dr. Breitenstein is a principal investigator and develop skills specific to the conduct of large intervention studies. Finally, they will have opportunities to analyze existing data
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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