Colorado Biomedical Informatics Training Program

科罗拉多州生物医学信息学培训计划

• 批准号: 10404342
• 负责人: Katherina Kechris-Mays
• 金额: $ 46.6万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10404342
• 关键词: Adopted; Awareness; Behavior; Bioethics; Biological Sciences; Biomedical Computing; Categories; Clinical Research; Colorado; Communication; Computing Methodologies; Development; Discipline; Doctor of Philosophy; Educational process of instructing; Ethics; Familiarity; Generations; Goals; Grant; Habits; Knowledge; Medical; Modeling; Oral; Positioning Attribute; Postdoctoral Fellow; Research; Science; Scientist; Self-Direction; Structure; Students; Technology; Time; Training; Training Programs; Translational Research; Universities; Work; base; biomedical informatics; career; computer science; design; experience; flexibility; high standard; informatics training; innovation; insight; life-long learning; medical schools; novel; novel strategies; post-doctoral training; pre-doctoral; programs; skills; statistics

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.

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、博士学位授予和博士后培训项目 科罗拉多大学医学院的项目，为期 20 年 博士前和博士后研究人员创新和有效培训的记录 职业生涯。我们是第二代教学计划，借鉴了 我们面前有许多生物医学信息学培训模型。我们的 该计划旨在培养精通两种计算方法的毕业生 和生物医学，对协同作用的科学技术的熟悉 两者，以及开创新颖的计算方法所需的技能 重要的生物医学问题。我们意识到实现这两个目标的难度 在合理的时间内获得广度和深度，并相信我们已经确定了一部小说 能够在相对相对的环境中培养富有成效的跨学科科学家的方法 短期。该计划的重点是改造已经很优秀的学生 和最近的博士学位成为成熟和多产的科学家。我们的计划是结构化的 围绕一组四类教育目标：知识、 沟通技巧、专业行为和自我导向的终身学习。我们的 毕业生展示了生物医学核心概念和原理的知识 信息学，并有能力应用计算来深入了解重要的 生物医学问题。他们的知识包括掌握基础知识 生物医学、临床和转化研究、统计学和计算机科学，以及 作为这些领域整合的熟练程度。我们的毕业生为 新知识的发现和传播。他们表现出人际交往、口语、 以及书面技能，使他们能够与来自世界各地的科学家进行富有成效的互动 生物医学和计算领域，交流他们的工作结果 适当的格式，并教授他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， 体现在对研究道德行为的承诺、持续的专业 发展，以及对其工作更广泛影响的深思熟虑。我们的 许多其他人采用了独特的计算生物伦理学教学方法 世界各地。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。 我们的程序本身也在不断改进，仔细跟踪我们的 努力并快速响应现场和形势的变化。我们是 我们有理由为我们杰出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、好奇的科学家的方法，使他们能够轻松地 在职业生涯中吸收新思想和新技术。 根据我们的成功记录，我们请求当前的插槽分配 增加至9个博士前、6个博士后和4个短期职位。