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Interdisciplinary Dialogue for Education, Collaboration, and Innovation: Intelligent Biology and Medicine In and Beyond 2013

Interdisciplinary Dialogue for Education, Collaboration, and Innovation: Intelligent Biology and Medicine In and Beyond 2013
教育、合作和创新的跨学科对话:2013 年及以后的智能生物学和医学
批准号:
1329380
负责人:
Zhongming Zhao
金额:
$1.74万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-01 至 2014-05-31

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中文摘要
翻译
2013年国际智能生物学和医学大会(ICIBM 2013)的重点是用最新的技术和知识教育和培训下一代生物信息学、系统生物学和智能计算专家,以进一步推动这些创新领域的未来发展。ICIBM 2013将促进面向多层次研究专业知识的项目,以便那些刚刚开始其研究生涯的人能够从专家和创新者那里获得最高水平的培训和信息,而那些继续在更高水平上进行研究的人拥有交流和合作的机会,这将显著提高整体研究的成功。为了进一步传播最具创新性的跨学科研究,该计划将包括杰出的主旨讲座、创新辅导课程和研究报告。ICIBM2013?S对教育和多样性的承诺,从它对代表性不足的学生和学员的支持,它独特的培训机会,以及它甚至在其委员会(包括一个文化和学科多元化的学员委员会,以更全面地纳入年轻科学家)中的包容性,突出了它是生物信息学、系统生物学、智能计算和相关领域前所未有的资源。这些研究领域将科学和工程知识与现代最先进的智能计算技术相结合。
英文摘要
The 2013 International Conference on Intelligent Biology and Medicine (ICIBM 2013) focuses on educating and training the next generation of bioinformatics, systems biology, and intelligent computing experts with up-to-date technologies and knowledge to further advance the future development within these innovative fields and beyond. ICIBM 2013 will facilitate programs that cater to multiple levels of research expertise so that those just beginning their research career can gain the highest level of training and information from experts and innovators, and those continuing with their research at higher levels have communication and collaborative opportunities that will significantly increase the success of research overall. To further disseminate the most innovative interdisciplinary research the program will include distinguished keynote lectures, innovative tutorial session, and research presentations. ICIBM 2013?s commitment to education and diversity, as evidenced by its support of underrepresented students and trainees, its unique training opportunities, and its inclusiveness even among its committees (including a culturally and disciplinarily diverse Trainee Committee to include young scientists more thoroughly), highlights it as an unprecedented resource for within bioinformatics, systems biology, intelligent computing, and related fields. These areas of research integrate science and engineering knowledge with modern, state-of-the-art intelligent computing technology.
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