Postdoctoral Research Fellowship in Biological Infrastructure for FY 2005

本行动资助2005年度美国国家科学基金会生物信息学博士后研究奖学金。该奖学金支持生物学与信息、计算、数学和统计科学交叉领域的博士后研究和培训。该研究金的目标是向青年科学家提供培训，为从事生物信息学方面的研究和教育相结合的职业做准备。越来越需要在所有职业级别上进行生物信息学培训，预期通过这些研究金培训的研究员将在培训未来工作人员方面发挥重要作用。这项研究和培训计划的题目是“利用生物信息学方法对动物运动与生物多样性相关的全球定位卫星（GPS）数据进行时空分析”。这项研究正在开发信息工具来拟合大型空间数据集的统计分布。然后将其与机制模型结合使用，以测试黄石国家公园灰狼（Canis lupus）运动的空间变化与社区多样性模式之间的生物组织的多个尺度的假设。该研究员计划从事环境科学和数学方面的合作研究。此次博士后申请将加强他在理论生态学和数据分析方面的基础。

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY 2005. 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 "Bioinformatic approaches to spatial and temporal analysis of Global Positioning Satellite (GPS) data that relate animal movement to biodiversity." This research is developing informatic tools to fit statistical distributions to large spatial data sets. The are then being used in conjunction with mechanistic models to test hypotheses across multiple scales of biological organization relating spatial variation in gray wolf (Canis lupus) movements to patterns of community diversity in Yellowstone National Park.The Fellow plans a career of collaborative research in environmental science and mathematics. The proposed postdoctoral fellowship is strengthening his foundation in theoretical ecology and data analysis.