Graduate Training in Computational and Systems Biology(RMI)

计算与系统生物学研究生培训（RMI）

基本信息

批准号：
7485710
负责人：
BRUCE TIDOR
金额：
$ 27.79万
依托单位：
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-30 至 2010-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7485710
关键词：
Academia Address Admission activity Adopted Advertising Algorithms Annual Reports Appendix Applications Grants Area Arizona Awards and Prizes Back Biological Biological Process Biology Biophysics Brain Businesses Caliber Cancer Biology Case Study Cell division Cells Cellular biology Charge Chemical Engineering Chemistry Class Classification Code Cognitive Science Commit Committee Members Communication Communities Complex Computational Biology Computational Technique Computers Core Facility Country DNA Data Data Analyses Data Set Databases Deposition Depth Development Device or Instrument Development Devices Discipline Doctor of Philosophy Education Educational Curriculum Educational process of instructing Educational workshop Effectiveness Electrical Engineering Elements Engineering Enrollment Ensure Environment Equilibrium Ethics Ethnic Origin Europe Evaluation Event Faculty Family Fellowship Fluorescent Probes Foundations Funding Funding Mechanisms GYPA gene Gender Gene Proteins Generations Genetic Genomics Glycophorin A Goals Government Grant Handwriting Hour Huntington Disease Image Image Analysis Individual Industry Institutes Institution Interdisciplinary Study International Internet Joints Knowledge Laboratories Laboratory Research Lead Leadership Left Length Literature Mails Measurable Measurement Measures Mechanics Mentors Metabolic Methods Metric Michigan Mining Modeling Molecular Molecular and Cellular Biology Monitor Names Noise Numbers Online Systems Oral Oral Examination Pacific Northwest Paper Participant Pennsylvania Philosophy Physics Pliability Positioning Attribute Postdoctoral Fellow Preparation Problem Solving Procedures Process Program Evaluation Proteins Proteomics Publications Published Comment Publishing Qualifying Race Range Rate Recommendation Reporting Research Research Activity Research Personnel Research Project Grants Research Proposals Role Rotation Schedule Schools Science Scientist Score Series Side Signal Transduction Site Solutions Spectrum Analysis Standards of Weights and Measures Strategic Planning Structure Students Supervision System Systems Analysis Systems Biology Techniques Technology Testing Textbooks Time Tissue Engineering Tissue Model Toxicology Traineeship Training Training Activity Training Programs Travel United States United States National Institutes of Health Universities Woman Work Writing base biological research career cellular imaging computer science cost day design experience falls frontier imaging informatics improved innovation insight interest lecturer lectures member microsystems nanobiology open source posters pre-doctoral pressure programs research study simulation single molecule skills success symposium theories tool willingness

项目摘要

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。