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计划（CSBI;）的基本组成部分，提出了一项新的计算和系统生物学研究生跨学科前研究生培训计划。课程教师集中在三个建立学术部门 - 生物学，生物工程（BE）和电气工程与计算机科学（EEC），以及其他部门的额外参与，例如化学工程，机械工程以及大脑和认知科学。这些部门的教师积极参与研究计划，这些研究计划涵盖了计算和系统生物学领域的广泛主题，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，预测性毒理学和代谢工程，基因组学和蛋白质组学，纳米生物学和微生物学和微生物系统，分子生物学生物学，以及蛋白质组学。学生将直接申请博士学位。他们的本科或硕士机构的计划，并在计算和系统生物学的新兴领域接受跨学科培训。该计划的独特方面包括：（a）与CSBI的多学科研究议程密切相关，（b）由新开发的，跨学科的课堂主题形成的独特核心，结合了生物学，工程和计算，（c）将跨越范围的学生参与的研究，（c）将范围内的研究集中在MIT和该研究中（c），包括MIT和学生的参与（D））（D）研究，领导和跨学科研究的挑战，（e）年度CSBI研讨会，这是一次杰出的会议，每年将领导者带到MIT，以及（f）多学科论文委员会。