Postdoctoral Research Fellowship in Biological Informatics FY 2006

项目名称：阐明自然选择的真实形式和可变性本项目是2006年生物信息学博士后研究奖学金项目下的一个项目。 该项目的主要目标是开发一个贝叶斯框架，以解决进化生物学中具有历史挑战性的问题。 该研究员将采用贝叶斯方法来估计选择，解开驱动选择系数的时间变化的因素，并表征选择强度的系统内和系统间的变异性。 为了解决这些问题，她将利用以前未开发的长期数据集threespine棘鱼的身体大小和以前发表的估计选择产生的长期选择研究。 该研究员将在圣克鲁斯的加州大学与Marc Mangel一起进行博士后培训，在那里她将发展包括贝叶斯统计在内的定量技能。她将参加应用数学课程，参加定量生态学研讨会，并沉浸在定量项目中。 这项培训将为依赖于经验数据集，进化理论和复杂的定量方法的互补使用来推进进化生物学工作的职业生涯做准备。

Project Title: Illuminating the true form and variability of selection in natureThis project is awarded under the Postdoctoral Research Fellowships in Biological Informatics Program for 2006. The main goal of this project is to develop a Bayesian framework for addressing historically challenging questions in evolutionary biology. The fellow will employ Bayesian methods to estimate selection, disentangle the factors driving temporal variation in selection coefficients, and characterize the within and among system variability in the strength of selection. To address these questions, she will utilize a previously unexploited long-term data set on threespine stickleback body size and previously published estimates of selection generated from long-term selection studies. The fellow will carry out her postdoctoral training with Marc Mangel at the University of California at Santa Cruz where she will develop quantitative skills including Bayesian statistics. She will take courses in applied mathematics, attend seminars in quantitative ecology, and immerse myself in quantitative projects. This training will prepare for a career dependent on complementary use of empirical data sets, evolutionary theory, and sophisticated quantitative approaches to advance work in evolutionary biology.