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中文摘要
翻译
该科罗拉多生物医学信息学培训计划是一个独立的,博士- 授予和博士后培训计划设在科罗拉多学校的大学 医学,具有15年的创新和有效的培训, 博士后研究员的研究生涯。我们是第二代教学 计划,由许多生物医学信息学培训的经验告知 在我们之前的模型。我们的计划旨在培养毕业生, 在计算方法和生物医学方面都有很深的造诣, 科学和技术,协同两者,以及必要的技能,开拓新的 重要生物医学问题的计算方法。我们知道 难以在合理的时间内实现广度和深度,以及 我相信我们已经找到了一种新的方法, 科学家在相对较短的时间内。该计划紧紧围绕 转化已经很强的学生和最近的博士学位。变得成熟而富有成效 科学家我们的计划是围绕一套四类教育目标的结构 和目标:知识,沟通技巧,专业行为,和自我- 指导终身学习。我们的毕业生展示了核心概念的知识 和生物医学信息学的原则,并有能力将计算应用于 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, 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 展示人际关系,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进行富有成效的合作, 以适当的格式交流他们的工作成果,并教导他人 生物医学信息学技能;他们有效地弥合生物医学和生物医学之间的差距, 计算文化我们的毕业生表现出最高的标准, 专业诚信和模范行为,体现在对 研究的道德行为,持续的专业发展和周到 关于他们工作的更广泛的影响。我们的毕业生表现出习惯, 自我导向和终身学习的技能,并认识到生物医学信息学 是一门快速发展的学科我们的项目本身也在不断地 改进,仔细跟踪我们的努力,并迅速应对变化, 在我们的领域和情况。我们为我们出色的业绩记录感到自豪, 以及我们的动态和适应性的方法来培训熟练,灵活, 好奇的科学家能够舒适地吸收新的想法和技术, 他们的职业生涯。基于我们成功的业绩记录, 要求继续我们目前的名额分配,即8名博士预科生,7名 博士后和4个短期职位。
英文摘要
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.
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High Performance Text Mining for Translator
  • 批准号:
    10334356
  • 项目类别:
  • 资助金额:
    $47.12万
  • 财政年份:
    2020
  • 负责人:
    LAWRENCE E HUNTER
  • 依托单位:
Scientific Questions: A New Target for Biomedical NLP
  • 批准号:
    10223438
  • 项目类别:
  • 资助金额:
    $45.31万
  • 财政年份:
    2020
  • 负责人:
    LAWRENCE E HUNTER
  • 依托单位:
Scientific Questions: A New Target for Biomedical NLP
  • 批准号:
    10454968
  • 项目类别:
  • 资助金额:
    $44.52万
  • 财政年份:
    2020
  • 负责人:
    LAWRENCE E HUNTER
  • 依托单位:
High Performance Text Mining for Translator
  • 批准号:
    10548337
  • 项目类别:
  • 资助金额:
    $46.61万
  • 财政年份:
    2020
  • 负责人:
    LAWRENCE E HUNTER
  • 依托单位:
国内基金
海外基金
greenwashing behavior in China:Basedon an integrated view of reconfiguration of environmental authority and decoupling logic
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YU BYUNGJUN
  • 依托单位:
Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YU BYUNGJUN
  • 依托单位: