Computational Bioscience Program Training Grant

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)是一个独立的博士授予和博士后培训计划。我们有一种创新和高效的方法来培训博士后和博士后研究员从事研究工作。我们是第二代教学项目，借鉴了我们之前出现的许多计算生物学培训模型的经验。我们的计划旨在培养在计算方法和分子生物学方面都有深度的毕业生，熟悉将两者结合在一起的科学和技术，以及开拓重大生物医学问题的新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新的方法，能够在相对较短的时间内培养多产的跨学科科学家。该项目的重点是将已经很优秀的学生和新近获得博士学位的学生转变为成熟、多产的科学家。我们的计划围绕四类教育目标和目标构建：知识、沟通技能、职业行为和自我指导的终身学习。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洞察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，以及熟练地将这些领域整合在一起。我们的毕业生将为新知识的发现和传播做出贡献。我们的毕业生展示了人际交往、口头和书面技能，使他们能够与生物医学和计算领域的科学家进行有效的互动，以适当的形式清楚地传达他们的工作结果，并向其他人传授计算生物科学技能。我们的毕业生能够弥合生物医学和计算机文化之间的鸿沟。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其工作的更广泛影响的深思熟虑。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。我们的重点是培养适应能力强、灵活和好奇心强的科学家，他们能够在专业发展过程中轻松吸收新思想和新技术。

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.