Postdoctoral Research Fellowship in Interdisciplinary Informatics for FY 2003

2003财年跨学科信息学博士后研究奖学金

• 批准号: 0305798
• 负责人: Joshua Weitz
• 金额: $ 10万
• 依托单位: Weitz, Joshua S
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0305798&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Interdisciplinary; Informatics

Postdoctoral Research Fellowships in Interdisciplinary Informatics are sponsored jointly by the Directorates for Mathematical and Physical Sciences (MPS) and Biological Sciences (BIO) to encourage research and training that cross the traditional disciplinary boundaries between them. These fellowships provide opportunities for interdisciplinary research and educational activities in biology and informatics to a wide range of recent doctoral recipients (biologists, chemists, physicists, mathematicians, statisticians, computer scientists, and others) who seek to conduct research on biological questions using informatics tools and methods. It is expected that the Fellows trained through these fellowships will play an important role in training the future workforce. Postdoctoral training in informatics will permit junior scientists trained in biology, mathematical, chemical, and physical sciences to play key roles in developing new quantitative tools and methods that will advance informatics in biology and other fields. The research and training plan for this fellowship is entitled "Multi-scale modeling of the structure and dynamics of vascular plant networks." This study of vascular plants has 3 primary aims: to develop a three-dimensional spatial model of network growth in vascular plants; to implement mesoscopic computational models of water transport coupled to the transportation network itself, and to scale up individual models of vascular plant dynamics to carbon exchange at the ecosystem level.

跨学科信息学博士后研究奖学金由数学和物理科学理事会(MPS)和生物科学理事会(BIO)联合赞助，以鼓励跨越它们之间传统学科界限的研究和培训。这些奖学金为寻求使用信息学工具和方法对生物学问题进行研究的众多新近获得博士学位的人(生物学家、化学家、物理学家、数学家、统计学家、计算机科学家等)提供了在生物学和信息学方面进行跨学科研究和教育活动的机会。预计通过这些研究金培训的研究员将在培训未来的工作人员方面发挥重要作用。信息学博士后培训将允许受过生物、数学、化学和物理科学培训的初级科学家在开发新的量化工具和方法方面发挥关键作用，这些工具和方法将促进生物学和其他领域的信息学。该研究金的研究和培训计划名为“维管植物网络结构和动力学的多尺度建模”。维管植物的研究有三个主要目标：建立维管植物网络生长的三维空间模型；实现与运输网络本身耦合的水分传输的介观计算模型；以及在生态系统水平上放大维管植物动态对碳交换的个体模型。