Computational Bioscience Program Training Grant

计算生物科学计划培训补助金

基本信息

批准号：
7877947
负责人：
LAWRENCE E HUNTER
金额：
$ 47.07万
依托单位：
UNIVERSITY OF COLORADO DENVER
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-07-01 至 2012-06-30
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): The Computational Bioscience Program (CBP) of the University of Colorado School of Medicine is an independent Ph.D.-granting and postdoctoral training program. We have an innovative and highly productive approach to training pre- and post-doctoral fellows for research careers. We are a second-generation teaching program, informed by the experiences of the many computational biology training models that have come before us. Our program is designed to produce graduates with depth in both computational methods and molecular biology, an intimate familiarity with the science and technology that synthesizes the two, and the skills necessary to pioneer novel computational approaches to significant biomedical questions. We are aware of the difficulty of achieving both breadth and depth in a reasonable amount of time, and believe we have identified a novel approach that is capable of training productive interdisciplinary scientists in a relatively short period. The program is tightly focused on transforming already strong students and recent Ph.D.s into mature and productive scientists. Our program is structured around a set of four categories of educational goals and objectives: knowledge, communication skills, professional behavior and self-directed life-long learning. Our graduates demonstrate the knowledge of core concepts and principles of computational bioscience, and have the ability to apply computation to gain insight into significant biomedical problems. Their knowledge includes mastery of the fundamentals of biomedicine, statistics and computer science, as well as proficiency in the integration of these fields. Our graduates will contribute to the discovery and dissemination of new knowledge. Our graduates demonstrate interpersonal, oral and written skills that enable them to interact productively with scientists from both biomedical and computational domains, to clearly communicate the results of their work in appropriate formats, and to teach others computational bioscience skills. Our graduates are able to bridge the gap between biomedical and computational cultures. Our graduates demonstrate the highest standards of professional integrity and exemplary behavior, as reflected by a commitment to the ethical conduct of research, continuous professional development, and thoughtfulness regarding the broader implications of their work. Our graduates demonstrate habits and skills for self-directed and life-long learning, and recognize that computational bioscience is a rapidly evolving discipline. Our focus is on the development of adaptive, flexible and curious scientists able to comfortably assimilate new ideas and technologies during the course of their professional development.

描述（由申请人提供）：科罗拉多大学医学院的计算生物科学计划（CBP）是独立博士学位和博士后培训计划。我们采用一种创新且高效的方法来培训研究职业前和博士后研究员。我们是第二代教学计划，由许多在我们面前的计算生物学培训模型的经验所启示。我们的计划旨在在计算方法和分子生物学中生产具有深度的毕业生，这是对综合两者的科学和技术的亲密熟悉，以及开拓重大生物医学问题的新型计算方法所需的技能。我们意识到在合理的时间内实现广度和深度的困难，并相信我们已经确定了一种能够在相对较短的时间内训练生产性跨学科科学家的新颖方法。该计划紧密着重于将已经很强大的学生和最近的博士学位转变为成熟和富有成效的科学家。我们的计划围绕一组教育目标和目标组成：知识，沟通技巧，专业行为和自我指导的终身学习。我们的毕业生展示了核心概念和计算生物科学原理的知识，并具有应用计算以深入了解重大生物医学问题的能力。他们的知识包括掌握生物医学，统计学和计算机科学的基础知识，以及这些领域整合的熟练程度。我们的毕业生将有助于发现和传播新知识。我们的毕业生展示了人际关系，口头和书面技能，使他们能够与来自生物医学和计算领域的科学家进行有效的互动，以清楚地以适当的格式传达其工作结果，并教授其他计算生物科学技能。我们的毕业生能够弥合生物医学和计算文化之间的差距。我们的毕业生展示了专业诚信和典范行为的最高标准，这反映了对研究的道德行为，持续的专业发展和对其工作更广泛含义的体贴的承诺。我们的毕业生展示了自我指导和终身学习的习惯和技能，并认识到计算生物科学是一门快速发展的学科。我们的重点是发展自适应，灵活和好奇的科学家，能够在其专业发展过程中舒适地吸收新的思想和技术。