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Video Bioinformatics IGERT


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Academic Level:
Graduate Students (Masters)
Graduate Students (PhD)

Description:
The Vision of the Video Bioinformatics IGERT is to integrate expertise from the life sciences, computer science, electrical engineering, and bioengineering to enable breakthrough capabilities in understanding biological processes that are by nature continuous and dynamic. Dr. Bhanu defines Video Bioinformatics as The automated processing, analysis, understanding, data mining, visualization, query-based retrieval/storage of biological spatiotemporal events/data and knowledge extracted from videos obtained with spatial resolution varying from nanometer to meter of scale and temporal resolution varying from seconds to days and months. Life sciences students will gain an understanding of the engineering principles involved in imaging, video processing, analysis, data mining, and databases. Engineering students will learn biological imaging techniques, design of experiments and modeling of phenomena, and they will gain a finer appreciation for the biological community’s needs. These Ph.D. students will be pioneers with cross-disciplinary capability needed to solve societal problems in the 21st century.

Students will participate in interdisciplinary project-oriented team-taught courses and group projects and carry out Ph.D. dissertation in video bioinformatics. Each student will participate in an intensive summer workshop before the first year of graduate study. The program will provide continuous mentoring, teaching and leadership opportunities, internship in industry or government, weekly seminars, yearly retreats, and workshops on ethics and communication skills.


Participating Institution(s):
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University of California, Riverside

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Bioengineering
Bioinformatics & Genomics
Biology
Computational Sciences
Digital Media
General Medical & Life Sciences

Keywords:
Video Data

Questions about this program?
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This program is funded by:
National Science Foundation (NSF)


Page last updated 2/1/2017
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