Postdoctoral Research Fellowship in Biological Informatics for FY 2006

2006财年生物信息学博士后研究奖学金

• 批准号: 0532789
• 负责人: George Jenerette
• 金额: $ 12万
• 依托单位: Jenerette George D
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-12-15 至 2007-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0532789&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY 2006. The fellowship supports research and training at the postdoctoral level at the intersection of biology and the informational, computational, mathematical, and statistical sciences. The goal of the fellowship is to provide training to a young scientist in preparation for a career in biological informatics in which research and education will be integrated. There is an increasing need for training in biological informatics at all occupational levels, and it is expected that Fellows trained through these fellowships will play important roles in training the future workforce.The research and training plan for this fellowship is entitled "Multiple-scale responses of terrestrial carbon flux to precipitation changes." The goal of the research is to develop and test a theory of soil-vegetation-atmosphere transfer dynamics to produce response scenarios of carbon cycling to changes in precipitation. A mechanistic model is being developed to bridge information between field measured carbon fluxes with intra- and inter-annual remotely sensed vegetation changes in response to precipitation. The training goals include acquiring new skills for the analysis and management of large and complex datasets and gaining experience in teaching and disseminating research results to non-scientists. This training addresses the needs of modern ecologists to transform the rapidly expanding ecological database into new understanding that addresses both scientific and societal needs.

这一行动为NSF 2006财年生物信息学博士后研究奖学金提供了资金。该奖学金支持生物学与信息科学、计算科学、数学科学和统计科学交叉的博士后水平的研究和培训。该研究金的目标是为一名年轻科学家提供培训，以便为从事生物信息学研究和教育相结合的职业做准备。各个职业层次对生物信息学的培训需求日益增加，预计通过这些奖学金培训的研究员将在培训未来的劳动力方面发挥重要作用。该奖学金的研究和培训计划题为“陆地碳通量对降水变化的多尺度响应”。这项研究的目标是开发和测试土壤-植被-大气转移动力学理论，以产生碳循环对降水变化的响应情景。正在开发一种机制模型，以便在实地测量的碳通量与年内和年间遥感植被变化之间建立信息桥梁，以响应降水。培训目标包括获得分析和管理大型和复杂数据集的新技能，以及在教学和向非科学家传播研究成果方面获得经验。这种培训解决了现代生态学家的需要，将迅速扩大的生态数据库转变为满足科学和社会需求的新理解。