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倡议（CSBi）的一个基本组成部分，提出了一个新的跨学科的计算和系统生物学博士前研究生培训计划。计划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），与其他部门的教师，如化学工程，机械工程，脑和认知科学的额外参与。来自这些部门的教师积极参与跨越计算和系统生物学广泛主题的研究计划，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。计划从他们的本科或硕士的机构，并在计算和系统生物学的新兴领域接受跨学科的培训。该计划的独特方面包括：（a）与CSBi的多学科和跨学科研究议程密切联系，（B）由新开发的跨学科课堂科目形成的独特核心，这些科目结合了生物学，联合收割机和计算，（c）一个研讨会计划，专注于麻省理工学院内外的广泛研究，包括学生参与，（d）学生和教师参与的年度务虚会，重点是研究，领导力和跨学科研究的挑战，（e）年度CSBi研讨会，这是一个特殊的会议，每年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。