Graduate Training in Computational and Systems Biology(RMI)

作为mit新计算与系统生物学计划（CSBi;）的基本组成部分，提出了一个新的跨学科计算与系统生物学博士前研究生培养计划。项目师资集中在三个创始学术单位？生物学、生物工程（BE）和电子工程与计算机科学（EECS），其他院系如化学工程、机械工程和脑与认知科学的教师也参与其中。这些系的教师积极参与计算和系统生物学领域的研究项目，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、分子生物物理学等

As a fundamental component of MITs new Computational and Systems Biology Initiative (CSBi;), a new interdisciplinary predoctoral 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.