Postdoctoral Research Fellowship in Biological Informatics for FY 2006

这项行动为2006财政年度的NSF生物信息学博士后研究奖学金提供资金。 该奖学金支持生物学与信息、计算、数学和统计科学交叉领域的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，该研究金的研究和培训计划题为“自然界中宿主和寄生虫的生态学和联合进化”。“这个项目是一个研究过程如何在不同的规模，从个人到景观，联合收割机结合起来，以确定时空主机寄生虫动态。 它包括开发流行病学模型，将生态和进化过程，然后将这些模型应用到两个不同的经验系统：水蚤dentifera和真菌病原体，豌豆蚜虫和他们的寄生虫蚜虫ervi.The培训目标是学习如何构建空间上明确的时间序列模型和必要的统计技术，这些模型的数据。 此外，该研究员正在扩大她的专业知识，陆地农业系统，为未来的研究提供更大的选择多样性，并提高教学技能的本科生在生物学数学接口程序。

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY 2006. 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 "The ecology and joint evolution of hosts and parasites in nature." This project is a study of how processes at different scales, from individuals to landscapes, combine to determine spatiotemporal host-parasite dynamics. It includes developing epidemiological models incorporating ecological and evolutionary processes and then applies these models to two different empirical systems: Daphnia dentifera and a fungal pathogen, and pea aphids and their parasitoid Aphidius ervi.The training goals are to learn how to construct spatially explicit time-series models and the statistical techniques necessary to link these models to data. Further, the Fellow is broadening her expertise to terrestrial agricultural systems, providing a greater diversity of options for future research, and improving teaching skills in a program for undergraduates at the biology-mathematics interface.