Computational Bioscience Program Training Grant

科罗拉多大学医学院的计算生物科学计划(CBP)是 独立的博士授予和博士后培训计划。我们拥有创新和高效的 为研究事业培训博士后和博士后研究员的方法。我们是第二代 教学计划，借鉴了许多计算生物学培训模型的经验，这些模型具有 到我们面前来。我们的计划旨在培养在这两种计算方法方面都有深度的毕业生。 和分子生物学，对合成这两者的科学和技术非常熟悉，以及 在重大生物医学问题上开创新的计算方法所需的技能。我们是 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。该计划的重点是转变已经很强的学生和最近的 把博士培养成成熟而多产的科学家。我们的计划是围绕一套四个类别的 教育目标和目标：知识、沟通技能、职业行为和自我导向 终身学习。我们的毕业生展示了对核心概念和原则的了解 计算生物科学，并有能力应用计算来洞察重要的生物医学 有问题。他们的知识包括掌握生物医学、统计学和计算机的基础知识 科学，以及精通这些领域的整合。我们的毕业生将为 新知识的发现和传播。我们的毕业生在人际交往、口头和书面交流方面表现出色。 使他们能够与来自生物医学和计算领域的科学家进行高效互动的技能 以适当的格式清楚地传达他们的工作结果，并教给其他人 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。我们的毕业生展现了最高标准的职业操守和 模范行为，如对研究道德行为的承诺所反映的，持续 专业发展，以及对其工作的更广泛影响的考虑。我们的 毕业生表现出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发展迅速的学科。我们的重点是发展适应性、 灵活和好奇的科学家能够在过程中轻松地吸收新的想法和技术 他们的职业发展。

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.