Colorado Biomedical Informatics Training Program

科罗拉多州生物医学信息学培训计划

• 批准号: 9526127
• 负责人: LAWRENCE E HUNTER
• 金额: $ 9.98万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9526127
• 关键词: Awareness; Behavior; 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; 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 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.

科罗拉多州生物医学信息学培训计划是一个独立的博士- 科罗拉多大学学院的资助和博士后培训计划 医学博士，在术前和术中的创新和有效培训方面拥有 15 年的记录 研究职业的博士后研究员。我们是教二代 计划，借鉴了许多生物医学信息学培训的经验 在我们之前出现的模型。我们的计划旨在培养具有以下能力的毕业生 对计算方法和生物医学有深入的了解，对 两者相结合的科学和技术，以及开拓小说所需的技能 重要生物医学问题的计算方法。我们知道 在合理的时间内达到广度和深度的难度，以及 相信我们已经找到了一种新颖的方法，能够有效地培训 跨学科科学家在相对较短的时间内。该计划的重点是 将已经很优秀的学生和最近的博士转变为成熟且富有成效的人 科学家。我们的计划围绕四类教育目标构建 和目标：知识、沟通技巧、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，并有能力应用计算 深入了解重要的生物医学问题。他们的知识包括掌握 生物医学、临床和转化研究、统计学和 计算机科学，以及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做出了贡献。他们 展示使他们能够互动的人际交往、口头和书面技能 与来自生物医学和计算领域的科学家进行富有成效的合作 以适当的形式传达他们的工作成果，并教导他人 生物医学信息学技能；它们有效地弥合了生物医学和生物医学之间的差距 计算文化。我们的毕业生展现了最高标准 专业诚信和模范行为，体现在对 研究的道德行为、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。我们的计划本身也在不断地进行 改进，仔细跟踪我们的努力并快速响应环境的变化 领域和我们的情况。我们有理由为我们的杰出业绩记录感到自豪 以及我们对熟练、灵活和灵活的培训的动态和适应性方法 好奇的科学家能够轻松地吸收新的想法和技术 他们的职业生涯的历程。根据我们的成功记录，我们 要求继续我们目前的名额分配，即8个博士生，7个 博士后和4个短期职位。