BLACKSBURG, Va., May 26, 2011 – Virginia Bioinformatics Institute will host an NSF-funded high school internship program from July 11-15 this summer. High school students will participate in “Our Green Future” by working in a professional lab with world-renowned scientists.
“This summer we will cover research being done to address environmental issues of climate change using novel technologies, funded by the National Science Foundation,” said Andy Pereira, Ph.D., PI on the proposal.
During this year’s program students will interact with scientists and participate in hands-on activities on a variety of subjects as: Green technology, Drought Resistant Plants, DNA Sequencing, Structural Bioinformatics, DNA Forensics, and Sustainable Crop Production. Tours of various VT departments and production facilities will also give insight into Virginia Tech’s involvement with environmental issues and novel technologies. Informal discussions with undergraduate students and graduate students will also give the students knowledge about career options and possibilities after high school.
Motivated high school students interested in math and science are encouraged to apply. To register, please go here. Registration ends June 13. "Our Green Future” is funded by NSF Award Number IOS-0922747.
About the Virginia Bioinformatics Institute
The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science combining information technology, biology, and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, statistics, economics, synthetic biology, and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world’s scientific, governmental, and wider communities.
May 26, 2011