Colorado Biomedical Informatics Training Program

科罗拉多大学安舒茨医学院计算生物科学 程序（CPBS）程序是一个独立的，博士-授予和博士后培养 该项目位于科罗拉多大学医学院，为期20年 对博士前和博士后研究员进行创新和有效培训的记录 careers.我们是第二代教学计划，由经验告知， 我们面前的许多生物医学信息学培训模型。我们 该计划的目的是产生在这两种计算方法的深度毕业生 和生物医学，对科学和技术的亲密熟悉， 这两个，和必要的技能，开拓新的计算方法， 重大的生物医学问题。我们意识到两者兼顾的困难 在一段合理的时间内，我们已经确定了一部小说的广度和深度， 这种方法能够以相对较好的方式培养多产的跨学科科学家。 短期内。该计划的重点是转变已经很强的学生 最近的PhD成熟多产的科学家我们的计划是结构化的 围绕着四类教育目标：知识， 沟通技巧、专业行为和自我导向的终身学习。我们 毕业生展示了生物医学核心概念和原理的知识 信息学，并有能力应用计算，以深入了解重要的 生物医学问题。他们的知识包括掌握基本的 生物医学，临床和转化研究，统计学和计算机科学，以及 在整合这些领域方面的熟练程度。我们的毕业生为 发现和传播新知识。他们表现出人际关系，口头， 和书面技能，使他们能够与科学家进行富有成效的互动， 生物医学和计算领域，交流他们的工作成果， 适当的格式，并教别人生物医学信息学技能;他们有效地 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， 反映在对研究道德行为的承诺，持续的专业 发展，并考虑到他们的工作的更广泛的影响。我们 一种独特的方法来教学计算生物伦理学已被许多人采用 世界各地我们的毕业生展示了自我导向和生活的习惯和技能- 长期学习，并认识到生物医学信息学是一个快速发展的学科。 我们的方案本身也在不断完善，认真跟踪我们的 我们将继续努力，迅速应对实地和我们局势的变化。我们 我们有理由为我们出色的业绩记录以及我们的活力和适应能力感到自豪 方法来训练熟练的，灵活的，好奇的科学家能够舒适 在职业生涯中吸收新的思想和技术。 基于我们的成功记录，我们要求将我们目前的时隙分配 增加到9个博士后，6个博士后和4个短期职位。

The University of Colorado Anschutz Medical Campus Computational Bioscience Program (CPBS) Program is an independent, Ph.D.-granting and postdoctoral training program based in the University of Colorado School of Medicine, with a 20-year track record of innovative and effective training of pre- and post-doctoral fellows for research careers. We are a second-generation teaching program, informed by the experience of the many biomedical informatics training models that have come before us. Our program is designed to produce graduates with depth in both computational methods and biomedicine, an intimate familiarity with the science and technology that synergizes 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 biomedical informatics, and have the ability to apply computation to gain insight into important biomedical problems. Their knowledge includes mastery of the fundamentals of biomedicine, clinical and translational research, statistics, and computer science, as well as proficiency in the integration of these fields. Our graduates have contributed to the discovery and dissemination of new knowledge. They demonstrate interpersonal, oral, and written skills that enable them to interact productively with scientists from both the biomedical and the computational domains, to communicate the results of their work in appropriate formats, and to teach others biomedical informatics skills; they effectively bridge the gap between biomedical and computational cultures. Our graduates demonstrate the highest standards of professional integrity and exemplary behavior, as reflected in a commitment to the ethical conduct of research, continuous professional development, and thoughtfulness regarding the broader implications of their work. Our unique approach to teaching computational bioethics has been adopted by many others around the world. Our graduates demonstrate habits and skills for self-directed and life- long learning, and recognize that biomedical informatics is a rapidly evolving discipline. Our program itself is also undergoing continuous improvement, carefully tracking our efforts and quickly responding to changes in the field and in our situation. We are justifiably proud of our outstanding track record as well as of our dynamic and adaptive approach to the training of adept, flexible, and curious scientists able to comfortably assimilate new ideas and technologies during the course of their professional careers. Based on our successful track record, we are requesting that our current slot allocation be increased to 9 predoctoral, 6 postdoctoral and 4 short term positions.