Building a holistic view of molecular responses of contaminants of emerging concern using deep-learning and artificial intelligence
EPA Office of Research and Development
EPA National Science Foundation Graduate Research Internship Program (GRIP) & Graduate Research Fellowship Program (GRFP) Opportunities
Research Opportunity at the United States Environmental Protection Agency |
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Title: |
Building a holistic view of molecular responses of contaminants of emerging concern using deep-learning and artificial intelligence |
Research Area (s): |
(Select one primary area and make it bold. Select more sub areas as needed or add according to your Lab/Office/Center mission area)
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Lab, Region/Center, Office: |
Center for Computational Toxicology and Exposure (CCTE), Office of Research and Development |
Opportunity Location: |
Research Triangle Park, NC |
Opportunity Funding (Duration): |
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Project Description: |
Not to Exceed 150 Words (Include project focus, broad goals, how does it fit in EPA/Center mission) The project focuses on developing artificial intelligence (AI) based data integration analysis and visualization of a variety of omics data from exposure studies. One or more of the following research topics could: 1) data collection including automatic extraction, cleaning, transformation and sorting data from public data resources, 2) self-organizing data analysis including feature extraction, clustering, classification, and generation of self-organizing map, 3) integration analysis of mixed types of environmental response data for undercovering links between different layers of biological responses to generate a holistic view of molecular responses, 4) data visualization for result validation, interpretation and hypothesis generation. The project supports the implementation of EPA's New Approach Methods (NAMs) Work Plan to prioritize agency efforts and resources toward activities that will reduce the use of vertebrate animal testing while continuing to protect human health and the environment. |
Fellowship Goal and Learning Objectives: |
Goal not to Exceed One Sentence Goal: The fellow will learn the use of omics data and artificial intelligence (AI) for risk assessment of environmental toxicants to the human health and ecosystem. Learning Objectives:
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Preferred Skills and Qualifications: |
Preferred Skills:
Qualifications: Graduate student or Ph.D. in one of the relevant fields (e.g., Bioinformatics, Statistics, Computer sciences, Genetics/Biology, Biochemistry). |
Point of Contact or Research Lead: |
Weichun Huang (weichun.huang@epa.gov) |
For more information about EPA Research Fellowship opportunities, visit: https://www.epa.gov/research-fellowships/nsf-graduate-research-internship-program-grip-graduate-research-fellowship-0