Sort by
Refine Your Search
-
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: FAES | Food
-
conducting qualitative and quantitative research and has requisite qualitative and quantitative data collection, coding, and analysis skills. Experience working with large administrative data sets. Experience
-
expertise in immunology with multi-color flow cytometry, confocal microscopy, molecular biology techniques such as qPCR, Western blot analysis, experience analyzing large and complex data sets, and strong
-
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 – Comprehensive Cancer
-
data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
-
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 - Comprehensive Cancer
-
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
-
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
-
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
-
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