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: 0305966
• 负责人: Michael Hickerson
• 金额: $ 10万
• 依托单位: Hickerson, Michael J
• 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 2005-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0305966&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Interdisciplinary; Informatics

This action funds an NSF Postdoctoral Research Fellowship in Interdisciplinary Informatics for fiscal year 2003. 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. These fellowships provide opportunities for interdisciplinary research and educational activities in biology and informatics to a wide range of recent doctoral recipients. 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 is entitled "Combining genetic and fossil data to reconstruct the ecological, evolutionary and climatic past." This research provides a new way to reconstruct the history of coexisting species by combining population genetic and fossil data into a single Bayesian analysis. This synergistic methodology is being applied to the current range of different types of globally accessible information and will benefit the fields of paleoecology and phylogeography.

该行动为2003财政年度跨学科信息学提供了NSF博士后研究奖学金。该奖学金支持生物学与信息，计算，数学和统计科学的交集的博士后研究和培训。奖学金的目的是向年轻科学家提供培训，以准备将研究和教育整合到生物学信息学领域。这些奖学金为生物学和信息学的跨学科研究和教育活动提供了机会，为广泛的最近博士学位提供了机会。 在所有职业水平上，越来越需要培训生物信息学的培训，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。 研究和培训计划的标题为“结合遗传学和化石数据以重建生态，进化和气候过去”。 这项研究提供了一种新的方法来通过将种群遗传和化石数据结合到单个贝叶斯分析中来重建共存物种的历史。 这种协同方法已应用于当前不同类型的全球访问信息的范围，并将使古生态学和植物地理学领域受益。