Colorado Biomedical Informatics Training Program

科罗拉多大学安舒茨医学院计算生物科学 项目(CPBS)是一个独立的、授予博士学位和博士后培训项目 以科罗拉多大学医学院为基础的课程，为期20年 创新和有效的博士后和博士后研究员研究培训记录 事业。我们是第二代教学计划，经验告诉我们 摆在我们面前的许多生物医学信息学培训模式。我们的 该计划旨在培养在这两种计算方法方面都有深度的毕业生 还有生物医学，这是一种对科学和技术的亲密熟悉，它可以协同 以及开创新型计算方法的先河所需的技能 重大的生物医学问题。我们意识到实现这两个目标的困难。 广度和深度在合理的时间内，相信我们已经确定了一部小说 能够在相对较短的时间内培养多产的跨学科科学家的方法 很短的时间。该计划的重点是转变已经很优秀的学生。 和最近的博士S成为成熟和多产的科学家。我们的计划是结构化的 围绕着一套四类教育目标和目的：知识， 沟通能力、职业行为和自我导向的终身学习。我们的 毕业生展示生物医学核心概念和原理的知识 信息学，并有能力应用计算来洞察重要的 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 精通这些领域的整合。我们的毕业生为 新知识的发现和传播。他们展示了人际关系，口头上， 和书面技能，使他们能够与来自 生物医学和计算领域，交流他们的工作成果 适当的格式，并向其他人传授生物医学信息学技能；他们有效地 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，如 体现在对研究道德行为的承诺上，持续专业 发展，并对其工作的更广泛影响深思熟虑。我们的 教授计算生命伦理学的独特方法已经被许多其他人采用 环游世界。我们的毕业生展示了自我指导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门快速发展的学科。 我们的计划本身也在不断改进，仔细跟踪我们的 我们将继续努力，并迅速对实地和我国局势的变化作出反应。我们是 有理由为我们出色的业绩记录以及我们的动态和适应性感到自豪 培养熟练、灵活和好奇心强的科学家 在职业生涯中吸收新思想和新技术。 根据我们的成功记录，我们要求我们目前的时隙分配 将增加到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.