Postdoctoral Research Fellowship in Biological Informatics for FY 2002

2002财年生物信息学博士后研究奖学金

• 批准号: 0204144
• 负责人: Jason Knouft
• 金额: $ 10万
• 依托单位: Knouft Jason H
• 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: 2002-07-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0204144&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for fiscal year 2002. 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 title of the research and training plan is "Investigation of factors influencing large-scale ecological and evolutionary patterns among Caribbean Anolis lizards." The research investigates macroecological patterns of body size, abundance, and character displacement in Caribbean Anolis lizards from a phylogenetic perspective. It integrates phylogenetic information on approximately 140 species, morphological data from specimens in museum collections from nearly 7,000 study sites, and landscape data from Geographic Information Systems (GIS) to examine factors influencing the diversification of these lizards.

这一行动为2002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。在所有职业级别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。 研究和培训计划的标题是“调查影响加勒比阿诺利斯蜥蜴大规模生态和进化模式的因素。“这项研究从系统发育的角度调查了加勒比海阿诺利斯蜥蜴的体型、丰度和性格位移的宏观生态模式。 它整合了大约140个物种的系统发育信息，近7,000个研究地点的博物馆收藏标本的形态数据，以及地理信息系统（GIS）的景观数据，以研究影响这些蜥蜴多样化的因素。