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.

这项行动为2005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，该研究金的研究和培训计划题为“天蛾飞行的控制理论和计算调查”。“这个项目的目标是使用控制理论和计算建模来研究动物如何控制它们在环境中的运动。 具体而言，它检查了天蛾的悬停，向前和机动飞行，重点是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。该项目的培训方面包括将控制理论应用于生物系统，特别是运动生物力学的经验。