Computational Bioscience Program Training Grant

计算生物科学计划培训补助金

• 批准号: 8064459
• 负责人: LAWRENCE E HUNTER
• 金额: $ 4.02万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 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
• 来源: https://reporter.nih.gov/project-details/8064459
• 关键词: Behavior; Categories; Colorado; Communication; Computational Biology; Computing Methodologies; Development; Discipline; Doctor of Philosophy; Educational process of instructing; Ethics; Familiarity; Generations; Goals; Grant; Habits; Knowledge; Learning; Life; Modeling; Molecular Biology; Oral; Postdoctoral Fellow; Research; Science; Scientist; Structure; Students; Technology; Time; Training; Training Programs; Universities; Work; Writing; career; computer science; design; experience; flexibility; high standard; innovation; insight; medical schools; novel; novel strategies; post-doctoral training; programs; skills; statistics

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项目（CBP）是一个独立的博士学位-资助和博士后培养计划。我们有一个创新和高效的方法来培训前和博士后研究员的研究生涯。我们是第二代教学计划，由我们之前的许多计算生物学培训模型的经验所告知。我们的计划旨在培养在计算方法和分子生物学方面具有深度的毕业生，熟悉综合两者的科学和技术，以及开拓新颖的计算方法以解决重大生物医学问题所需的技能。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新的方法，能够在相对较短的时间内培养富有成效的跨学科科学家。该计划是紧紧围绕已经强大的学生和最近的博士转化为成熟和富有成效的科学家。我们的计划是围绕一套四类教育目标和目的：知识，沟通技巧，专业行为和自我导向的终身学习。我们的毕业生展示了计算生物科学的核心概念和原理的知识，并有能力应用计算来深入了解重大的生物医学问题。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，以及这些领域的整合能力。我们的毕业生将有助于新知识的发现和传播。我们的毕业生表现出人际交往，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富有成效的互动，以适当的格式清楚地传达他们的工作结果，并教他人计算生物科学技能。我们的毕业生能够弥合生物医学和计算文化之间的差距。我们的毕业生表现出最高标准的职业操守和模范行为，体现在对研究道德行为的承诺，持续的专业发展以及对工作更广泛影响的考虑。我们的毕业生展示了自我导向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。我们的重点是发展适应性，灵活性和好奇心的科学家，能够在他们的专业发展过程中舒适地吸收新的想法和技术。