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Computational and Mathematical Modeling of Biomedical Systems

Computational and Mathematical Modeling of Biomedical Systems
生物医学系统的计算和数学建模
批准号:
9291468
负责人:
Timothy W. Secomb
金额:
$23.27万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-07-01 至 2019-06-30

项目摘要

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中文摘要
翻译
描述(由申请人提供):该项目通过博士前水平的跨学科培训,为科学家在医学上重要的生物系统的计算和数学建模方面的研究事业做好准备。亚利桑那大学以其完善的跨学科研究生课程体系和跨部门合作的传统而闻名,为此类培训提供了非常合适的环境。18名培训教师和3名副教授在多个部门和跨学科研究生项目中任职,在五个广泛的领域提供实力:生物信息学;分子动力学;细胞过程;生理学和病理生理学;生物统计学和随机过程。学生来自数学和生命科学的多个研究生课程,包括跨学科的应用数学研究生课程。在大多数情况下,学生从研究生培训的第二年或第三年开始接受为期两年的支持。学员按照自己的研究生课程要求学习课程,此外,还学习数学建模和生物信息学的研究生课程,这些课程是根据学员的需求量身定制的,并考虑到他们不同的科学背景。所有受训者每周都要参加一个生物数学研讨会,这个研讨会已经连续举办了15年以上。本次研讨会包括学生、教师和客座演讲者的演讲,并促进学员与主要具有数学或计算背景的教师和具有较强生物学训练的教师之间的对话。受训者在导师的指导下进行博士研究,导师的研究无论是理论还是实验,都强调理论方法在生物医学问题中的应用。在适当情况下,任命一名联合顾问,向主要顾问提供补充的专门知识。参加该项目的学员不仅接受相关领域的研究培训,而且同样重要的是,培养跨越传统学科界限的沟通和协作能力,并与具有互补专业知识的研究人员合作。生物医学科学的许多领域都迫切需要具有这种技能的研究人员,这些领域需要复杂的理论方法才能取得进一步进展。
英文摘要
DESCRIPTION (provided by applicant): This program prepares scientists for research careers in the computational and mathematical modeling of medically significant biological systems through interdisciplinary training at the predoctoral level. Noted for its well-established system f interdisciplinary graduate programs and for its tradition of collaborations across departmental boundaries, the University of Arizona provides a highly suitable environment for such training. Eighteen training faculty and three associate faculty with appointments in multiple departments and interdisciplinary graduate programs provide strength in five broad areas: bioinformatics; molecular dynamics; cellular processes; physiology and pathophysiology; biostatistics and stochastic processes. Students are drawn from multiple graduate programs in mathematical and life sciences, including the interdisciplinary Graduate Program in Applied Mathematics. In most cases, students receive two years of support from this program, starting in their second or third year of graduate training. Trainees pursue the coursework requirements of their own graduate programs and, in addition, take graduate courses in mathematical modeling and in bioinformatics, which are tailored to the trainees' needs and take into account their diverse scientific backgrounds. All trainees take part in a weekly biomathematics colloquium that has been running continuously for more than fifteen years. This colloquium includes presentations by students, faculty and visiting speakers, and promotes dialog between trainees and faculty with primarily mathematical or computational backgrounds and those with strong biological training. Trainees carry out their doctoral research with advisors whose research, whether theoretical or experimental, emphasizes application of theoretical approaches to biomedical problems. Where appropriate, a co-advisor is appointed to provide complementary expertise to that of the primary advisor. Trainees participating in this program not only receive research training in relevant areas, but, equally importantly, develop the ability to communicate and collaborate across traditional disciplinary boundaries and to work with researchers with complementary expertise. Researchers with such skills are critically needed in many areas of biomedical science in which sophisticated theoretical approaches are necessary in order to achieve further progress.
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Computational and mathematical modeling of biomedical systems
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