Colorado Biomedical Informatics Training Program
科罗拉多州生物医学信息学培训计划
基本信息
- 批准号:9526127
- 负责人:
- 金额:$ 9.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:AwarenessBehaviorBiomedical ComputingCategoriesClinical ResearchColoradoCommunicationComputing MethodologiesDevelopmentDisciplineDoctor of PhilosophyEducational process of instructingEthicsFamiliarityGenerationsGoalsGrantHabitsKnowledgeModelingOralPositioning AttributePostdoctoral FellowResearchScienceScientistSelf-DirectionStructureStudentsTechnologyTimeTrainingTraining ProgramsTranslational ResearchUniversitiesWorkbasebiomedical informaticscareercomputer sciencedesignexperienceflexibilityhigh standardinformatics traininginnovationinsightlife-long learningmedical schoolsnovelnovel strategiespost-doctoral trainingpre-doctoralprogramsskillsstatistics
项目摘要
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.
科罗拉多生物医学信息学培训计划是一个独立的博士学位
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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LAWRENCE E HUNTER其他文献
LAWRENCE E HUNTER的其他文献
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{{ truncateString('LAWRENCE E HUNTER', 18)}}的其他基金
Scientific Questions: A New Target for Biomedical NLP
科学问题:生物医学 NLP 的新目标
- 批准号:
10223438 - 财政年份:2020
- 资助金额:
$ 9.98万 - 项目类别:
Scientific Questions: A New Target for Biomedical NLP
科学问题:生物医学 NLP 的新目标
- 批准号:
10454968 - 财政年份:2020
- 资助金额:
$ 9.98万 - 项目类别:
Automated Literature Mining for Validation of High-Throughput Function Prediction
用于验证高通量函数预测的自动文献挖掘
- 批准号:
7843633 - 财政年份:2009
- 资助金额:
$ 9.98万 - 项目类别:
Construction of a Full Text Corpus for Biomedical Text Mining
生物医学文本挖掘全文语料库的构建
- 批准号:
7872692 - 财政年份:2009
- 资助金额:
$ 9.98万 - 项目类别:
Colorado Biomedical Informatics Training Program
科罗拉多州生物医学信息学培训计划
- 批准号:
8261523 - 财政年份:2007
- 资助金额:
$ 9.98万 - 项目类别:
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