Postdoctoral Research Fellowship in Biological Informatics for FY 2005

2005财年生物信息学博士后研究奖学金

• 批准号: 0434657
• 负责人: Tyson Hedrick
• 金额: $ 12万
• 依托单位: Hedrick, Tyson L
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-11-01 至 2006-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0434657&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

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 "Control theoretic and computational investigation of the flight of the hawkmoth." The goal of this project is to use control theory and computational modeling to study how animals control movement within their environment. Specifically, it examines the hovering, forward and maneuvering flight of the hawkmoth, Manduca sexta, focusing on the inverse control problem of predicting wing movements (kinematics) and muscle activity from an observed flight path.The training aspect of the project includes experience in the application of control theory to biological systems, especially locomotor biomechanics.

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。这项研究和训练计划的题目是“飞蛾飞行的控制理论和计算研究”。这个项目的目标是使用控制理论和计算模型来研究动物如何在它们的环境中控制运动。具体地说，它研究了悬停、前进和机动飞行的飞蛾，Manduca sexta，重点关注从观察到的飞行路径预测翅膀运动（运动学）和肌肉活动的逆控制问题。该项目的训练内容包括将控制理论应用于生物系统，特别是运动生物力学。