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REU Site: Computational Biology Summer Research Experience at Rutgers - Camden

REU Site: Computational Biology Summer Research Experience at Rutgers - Camden
REU 网站:罗格斯大学卡姆登分校计算生物学暑期研究体验
批准号:
1559868
负责人:
Benedetto Piccoli
金额:
$36.67万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-01 至 2019-04-30

项目摘要

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中文摘要
翻译
位于新泽西州卡姆登的罗格斯大学(Rutgers University - Camden)将在2016-18年夏季为10名学生提供为期10周的培训。该项目得到了生物科学理事会(BIO)生物基础设施司(DBI)和数学和物理科学理事会(MPS)数学科学司(DMS)的支持。来自生物学、化学、计算机科学、数学和物理学的参与教师将为本科生提供跨学科的夏季研究经验,重点关注生物系统研究的实验和计算方法的结合。学生将掌握数学建模、实验设置和计算生物学的技能。该计划将包括旨在加强关于科学研究这一广泛主题的知识的充实会议。该项目采用兼收并蓄的综合招聘方式,包括与社区大学合作。个人项目描述和在线申请可以在http://ccib.camden.rutgers.edu/reu/上找到。项目负责人将根据资格标准进行选择,资格标准包括大一,大二或副学士学位水平,累积GPA为3.0,完成至少一门本科科学课程以及研究兴趣和潜力。过去的研究对象包括来自代表性不足的群体、退伍军人和社区大学的不同学生。来自研究机会有限的学校的30名学生将接受该项目的培训。这些项目将向学生介绍计算生物学研究的综合方法;发展学术、专业和个人技能;营造鼓励发现和创新的合作环境;让学生接触与科学研究和发展相关的领域,如道德行为和技术转让;最后,让参与者在学术和职业生涯中做出明智的决定。学生将学习如何进行研究,许多人将在科学会议上展示他们的工作成果。由生物基础设施部(BIO)资助的所有REU项目使用的通用网络评估工具将用于确定培训计划的有效性。课程结束后,将对学生进行跟踪,以确定学生的职业道路。学生将被要求回复通过NSF报告系统自动发送的电子邮件。有关该计划的更多信息可访问http://ccib.camden.rutgers.edu/reu/,或联系PI (Benedetto Piccoli博士piccoli@camden.rutgers.edu)或Co-PI (Joe Martin博士joe.martin@camden.rutgers.edu)。
英文摘要
This REU Site award to Rutgers University - Camden, located in Camden, NJ, will support the training of 10 students for 10 weeks during the summers of 2016-18. This project is supported by the Division of Biological Infrastructure (DBI) in the Directorate for Biological Sciences (BIO) and the Division of Mathematical Sciences (DMS) in the Directorate for Mathematics and Physical Sciences (MPS). Participating faculty from Biology, Chemistry, Computer Science, Mathematics and Physics will provide an interdisciplinary summer research experience to undergraduate students with a strong focus on the combination of experimental and computational approaches for the study of biological systems. Students will acquire skills in mathematical modeling, experimental setup and computational biology. The program will include enrichment sessions geared towards strengthening knowledge on the broad theme of scientific research. The program employs an eclectic and comprehensive approach to recruiting, including partnerships with community colleges. Individual project descriptions and an online application can be found at http://ccib.camden.rutgers.edu/reu/. Selection will be made by the project leaders based on eligibility criteria that includes freshman, sophomore or associate's degree level status, a cumulative 3.0 GPA, completion of at least one undergraduate science course as well as interest and potential in research. Past cohorts have included diverse students from underrepresented groups, veterans, and community colleges.A total of 30 students from schools with limited research opportunities will be trained in the program. The projects will introduce students to an integrated approach to research in computational biology; develop academic, professional, and personal skills; foster a collaborative environment encouraging discovery and innovation; expose students to areas of relevance for scientific research and development such as ethical conduct and technology transfer; and finally, equip participants to make well-informed decisions on their academic and professional career. Students will learn how research is conducted, and many will present the results of their work at scientific conferences.A common web-based assessment tool used by all REU programs funded by the Division of Biological Infrastructure (BIO) will be used to determine the effectiveness of the training program. Students will be tracked after the program is completed to determine student career paths. Students will be asked to respond to an automatic email sent via the NSF reporting system. More information about the program is available at http://ccib.camden.rutgers.edu/reu/, or by contacting the PI (Dr. Benedetto Piccoli at piccoli@camden.rutgers.edu) or Co-PI (Dr. Joe Martin at joe.martin@camden.rutgers.edu).
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