Colorado Biomedical Informatics Training Program

科罗拉多州生物医学信息学培训项目是一个独立的博士学位。 设在科罗拉多大学学院的授予和博士后培训计划 具有15年创新和有效的预科和医科专业培训记录 博士后研究员从事研究工作。我们是第二代教师 计划，了解了许多生物医学信息学培训的经验 在我们之前出现的模特。我们的计划旨在培养具有以下特点的毕业生 对计算方法和生物医学都有深入的了解，熟悉 将两者结合在一起的科学技术，以及开创小说先河所需的技能 重大生物医学问题的计算方法。我们意识到 难以在合理的时间内同时达到广度和深度，以及 我相信我们已经确定了一种新的方法，能够培训有成效的 跨学科的科学家在相对较短的时间内。该计划的重点是 把已经很强的学生和新近获得博士学位的S转变为成熟而富有成效的人 科学家。我们的计划围绕着一套四类教育目标而构建 和目标：知识、沟通技能、职业行为和自我 定向终身学习。我们的毕业生展示了核心概念的知识 和生物医学信息学原理，并有能力将计算应用于 洞察重要的生物医学问题。他们的知识包括掌握 生物医学基础、临床和转化研究、统计学和 计算机科学，以及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做出了贡献。他们 展示人际交往、口头和书面技能，使他们能够互动 与来自生物医学和计算领域的科学家们富有成效地合作， 以适当的形式传达他们的工作成果，并教给其他人 生物医学信息学技能；它们有效地弥合了生物医学和 计算文化。我们的毕业生展示了最高标准的 职业操守和模范行为，体现在对 有道德的研究行为、持续的专业发展和深思熟虑 关于他们的工作的更广泛的影响。我们的毕业生表现出了习惯和 自我指导和终身学习的技能，并认识到生物医学信息学 是一门快速发展的学科。我们的节目本身也在不断地 改进，认真跟踪我们的努力，并快速应对 在我们的情况下。我们有理由为我们出色的业绩记录感到自豪 以及我们的动态和自适应方法来培训熟练、灵活和 好奇的科学家能够轻松地吸收新思想和新技术 在他们的职业生涯中。基于我们的成功记录，我们正在 请求继续我们目前的时间分配，也就是博士前8人，7人 博士后和4个短期职位。

The Colorado Biomedical Informatics Training Program is an independent, Ph.D.- granting and postdoctoral training program based in the University of Colorado School of Medicine, with a 15-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 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 continued, that is, 8 predoctoral, 7 postdoctoral and 4 short term positions.