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: 0306091
• 负责人: Natalia Belfiore
• 金额: $ 10万
• 依托单位: Belfiore, Natalia M
• 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: 2003-07-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0306091&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). It is expected that the Fellows trained through these fellowships will play an important role in training the future workforce. Postdoctoral research and 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 is entitled "Reconstructing the past using current technological and computational methods: studying population genetic change using 100-year-old museum specimens." This research project will develop single nucleotide polymorphism (SNP) genetic markers to study pocket gophers (Thomomys bottae) that have been collected over the past 100 years. The project will also show whether historic samples provide insight into genetic change in populations. Published SNP databases will assist in designing SNP experiments to best understand gopher population dynamics.

跨学科信息学博士后研究奖学金由数学和物理科学（MPS）和生物科学（BIO）董事会联合赞助，以鼓励跨越传统学科界限的研究和培训。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，以广泛的近期博士学位获得者（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）。 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。信息学博士后研究和培训将使接受过生物学、数学、化学和物理科学培训的年轻科学家在开发新的定量工具和方法方面发挥关键作用，从而推动生物学和其他领域的信息学。“这项研究项目将开发单核苷酸多态性（SNP）遗传标记，以研究过去100年来收集的囊鼠（Bottae）。 该项目还将展示历史样本是否能提供对种群遗传变化的洞察力。已发表的SNP数据库将有助于设计SNP实验，以最好地了解地鼠种群动态。