Postdoctoral Research Fellowship in Biological Informatics for FY2001

2001财年生物信息学博士后研究奖学金

• 批准号: 0107551
• 负责人: Brian Beckage
• 金额: $ 10万
• 依托单位: Beckage, Brian
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-01-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0107551&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY2001. 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 of the future workforce.The research and training plan for this fellowship is entitled "Modeling the Effects of Hurricane and Fire Disturbances on the Population Dynamics of South Florida Slash Pine." Fires and hurricanes are frequent disturbances affecting community structure and dynamics of pine forests in the southeastern US. This research is developing spatially explicit, individual-based models of pine population dynamics, parameterized from empirical data that include hurricane and fire disturbances. The models are to be used to predict how pine populations will respond to hypothetical disturbance regimes associated with global change.

这一行动为2001财政年度的NSF生物信息学博士后研究奖学金提供资金。 该奖学金支持在生物学和信息，计算，数学和统计科学的交叉点博士后水平的研究和培训。该研究金的目标是向一名青年科学家提供培训，为从事研究和教育相结合的生物信息学职业做准备。在各个职业层次上对生物信息学培训的需求日益增加，预计通过这些研究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，该研究金的研究和培训计划题为“模拟飓风和火灾对南佛罗里达湿地松种群动态的影响”。“火灾和飓风是影响美国东南部松林群落结构和动态的频繁干扰。 这项研究正在开发空间上明确的，基于个人的松树种群动态模型，参数化的经验数据，包括飓风和火灾的干扰。 该模型被用来预测松树种群将如何应对与全球变化相关的假设干扰制度。