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Due July 15, 2024

Are you interested in research at the intersection of biology, computer science, math, and physics? Could your graduate work be enhanced by adding a network biology component? 科学上网怎么上facebook、youtube、Twitter、Google？用 ...:2021-4-18 · 网络加速器免费排行榜（怎么上youtube、facebook、twitter、instagram、Google） 加速器商家名称 推荐星级 套餐价格 官方网站 加速精灵 六颗星（重点推荐） 最低￥20/月 官网直达 socketpro加速器 六颗星（重点推荐） 最低￥15/月 官网直达 一 ...

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COMBINE immerses graduate students in interdisciplinary research and training that integrates quantitative modeling methods from physics and mathematics with data processing, analysis, and visualization tools from computer science to gain deeper insights into the structural and dynamical principles governing living systems. Participants utilize a network-based, data-driven approach, focusing on how interaction patterns can give insights into complex biological phenomena. COMBINE prepares students to become experts in the process of transforming raw biological data into useful information from which new biological insights can be inferred, positioning them to pursue a range of Science, Technology, Engineering, and Mathematics (STEM) careers at the nexus of the computer, physical, and life sciences.

COMBINE applies the methods of network science (developed largely within the physics, applied mathematics, and computer science communities) to the study of biological systems from microscopic to macroscopic scales.
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COMBINnsf_logoE is supported by the University of Maryland and through NSF award number 1632976.

 

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