Graduate Training:Computational and Systems Biology(RMI)

研究生培训：计算与系统生物学（RMI）

• 批准号: 6874555
• 负责人: BRUCE TIDOR
• 金额: $ 13.89万
• 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 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6874555
• 关键词: Chordata; bioengineering /biomedical engineering; bioimaging /biomedical imaging; bioinformatics; biophysics; clinical research; computational biology; cooperative study; education evaluation /planning; functional /structural genomics; health science research potential; interdisciplinary collaboration; nanotechnology; oncology; predoctoral investigator; proteomics; science education; 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计划（CSBi；）的基本组成部分，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训计划。项目教师集中在三个创始学术单位——生物学、生物工程（BE）和电气工程与计算机科学（EECS），另外还有化学工程、机械工程、脑与认知科学等其他院系的教师参与科学。这些系的教师积极参与涵盖计算和系统生物学广泛主题的研究项目，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。学生将直接申请博士学位。从本科或硕士机构获得课程，并接受计算和系统生物学新兴领域的跨学科培训。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) 由新开发的跨学科课堂科目形成的独特核心，结合了生物学、工程和计算，(c ）一个研讨会计划，重点关注麻省理工学院内外的广泛研究，包括学生参与，（d）由学生和教师参与的年度务虚会，重点关注研究、领导力和跨学科研究的挑战，（e）一年一度的 CSBi 研讨会，这是一次特殊的每年都会将该领域的领导者带到麻省理工学院，以及（f）多学科论文委员会。