Graduate Training in Computational and Systems Biology

计算和系统生物学研究生培训

• 批准号: 7120592
• 负责人: BRUCE TIDOR
• 金额: $ 26.48万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-30 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7120592
• 关键词: NIH Roadmap Initiative tag; bioengineering /biomedical engineering; bioimaging /biomedical imaging; biology; biophysics; computational biology; computers; education evaluation /planning; functional /structural genomics; health science research potential; informatics; interdisciplinary collaboration; meeting /conference /symposium; nanotechnology; oncology; postgraduate education; proteomics; science education; tissue engineering; toxicology; training

DESCRIPTION (provided by applicant): As a fundamental component of MIT's new Computational and Systems Biology Initiative (CSBi;), a new interdisciplinary pre-doctoral graduate training program in computational and systems biology is proposed. Program faculty are concentrated in the three founding academic units - Biology, Biological Engineering (BE), and Electrical Engineering & Computer Science (EECS), with additional involvement of faculty from other departments, such as Chemical Engineering, Mechanical Engineering, and Brain and Cognitive Sciences. Faculty from these departments are actively involved in research programs spanning a broad set of topics in computational and systems biology, including gene and protein networks, cell and tissue engineering, imaging and image informatics, predictive toxicology and metabolic engineering, genomics and proteomics, nanobiology and microsystems, molecular biophysics, and cancer biology. Students will apply directly to the Ph.D. program from their undergraduate or Master's institution and receive interdisciplinary training in the emerging field of computational and systems biology. Unique aspects of the program include: (a) close association with the multi- and inter-disciplinary research agenda of CSBi, (b) a unique core formed from newly developed, interdisciplinary classroom subjects that combine biology, engineering, and computation, (c) a seminar program focusing on a broad range of research both within and outside of MIT and that includes student participation, (d) an annual retreat with participation of students and faculty focusing on research, leadership, and challenges to interdisciplinary research, (e) the annual CSBi symposium, which is an exceptional conference bringing leaders in the field to MIT each year, and (f) multi-disciplinary thesis committees.

描述(由申请人提供)： 作为麻省理工学院新的计算和系统生物学倡议(CSBi；)的一个基本组成部分，提出了一个新的计算和系统生物学跨学科博士前研究生培养计划。该项目的教员集中在三个创始的学术单位--生物学、生物工程(BE)和电气工程与计算机科学(EECS)，其他系的教员也参与其中，如化学工程、机械工程和脑与认知科学。这些系的教师积极参与计算和系统生物学的广泛课题的研究项目，包括基因和蛋白质网络、细胞和组织工程、成像和图像信息学、预测毒理学和代谢工程、基因组学和蛋白质组学、纳米生物学和微系统、分子生物物理学和癌症生物学。学生将直接从他们的本科生或硕士院校申请博士课程，并接受新兴计算和系统生物学领域的跨学科培训。该计划的独特之处包括：(A)与CSBI的多学科和跨学科研究议程密切相关；(B)由新开发的结合了生物、工程和计算的跨学科课堂主题形成的独特核心；(C)研讨会计划，侧重于麻省理工学院内外的广泛研究，并包括学生参与；(D)学生和教职员工参加的年度务虚会，重点关注研究、领导力和跨学科研究的挑战；(E)CSBI年度研讨会，这是每年将该领域的领导者召集到麻省理工学院的特殊会议，和(F)多学科论文委员会。