REU Site: Models in Evolution, Ecology and Systematics

REU 网站:进化、生态学和系统学模型

基本信息

项目摘要

A Research Experience for Undergraduates (REU) Sites award has been made to The University of Kansas (KU) that will provide research training for 10 students, for 10 weeks during the summers of 2013-2015. This REU program is supported by the NSF's Experimental Program to Stimulate Competitive Research (EPSCoR), and the Directorate for Biological Sciences (BIO REU program). Located within the Department of Ecology and Evolutionary Biology, the program focuses on the use of models in evolution, ecology and systematics. Students will participate in independent research projects with a faculty mentor. Projects vary greatly across the discipline and will be tailored to the student's strengths and interests in Ecology and Evolutionary Biology. Students will conduct full-time lab research as well as participate in seminars and various workshops, such as ethics training and responsible conduct in research, professional communication skills, career opportunities in industry and academia, and the graduate school application process. In addition, students will participate in field trips to KU and Kansas State Research facilities. REU students will have access to a rich array of individual mentor?s facilities as well as field sites, museum collections and core facilities such as the electron microscopy lab, DNA core laboratory, bioinformatics center and a genomics facility. Biology and mathematics students are encouraged to apply particularly students underrepresented in STEM fields and from undergraduate institutions or community colleges. Students are selected based on academic record, research performance, and potential for outstanding research in evolution, ecology and systematics. Students will be tracked to determine their continued interest in their academic field of study, their career paths, and the lasting influences of the research experience. Information about the program will be assessed by various means, including use of an REU common assessment tool. More information is available by visiting http://eebreu.ku.edu, or by contacting the PI (Dr. Jennifer Gleason) or the co-PI (Dr. Mark Mort) at eebreu@ku.edu.
一个本科生(REU)网站的研究经验奖已作出堪萨斯大学(KU),将提供10名学生的研究培训,在2013-2015年夏季10周。该REU计划由NSF的刺激竞争性研究实验计划(EPSCoR)和生物科学理事会(BIO REU计划)支持。位于生态学和进化生物学系内,该计划侧重于在进化,生态学和系统学中使用模型。 学生将与教师导师一起参加独立的研究项目。 项目在整个学科中差异很大,并将根据学生在生态学和进化生物学方面的优势和兴趣进行量身定制。 学生将进行全职实验室研究,并参加研讨会和各种研讨会,如道德培训和负责任的研究行为,专业沟通技巧,在工业和学术界的职业机会,以及研究生院申请过程。 此外,学生将参加对堪萨斯大学和堪萨斯州立研究机构的实地考察。 REU学生将有机会获得丰富的个人导师阵列?该实验室的设施以及现场、博物馆收藏和核心设施,如电子显微镜实验室、DNA核心实验室、生物信息学中心和基因组学设施。 鼓励生物学和数学专业的学生申请,特别是在STEM领域和本科院校或社区学院代表性不足的学生。 学生的选择是基于学习成绩,研究表现,以及在进化,生态学和系统学方面的杰出研究潜力。 学生将被跟踪,以确定他们对学习的学术领域的持续兴趣,他们的职业道路,以及研究经验的持久影响。有关该计划的信息将通过各种手段进行评估,包括使用REU通用评估工具。欲了解更多信息,请访问http://eebreu.ku.edu,或通过eebreu@ku.edu联系PI(Jennifer Gleason博士)或联合PI(Mark Mort博士)。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Jennifer Gleason其他文献

Direct and Indirect Acts of Stigmatization
直接和间接的污名化行为
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jennifer Gleason
  • 通讯作者:
    Jennifer Gleason

Jennifer Gleason的其他文献

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{{ truncateString('Jennifer Gleason', 18)}}的其他基金

MCA: New directions in female aggression research
MCA:女性攻击性研究的新方向
  • 批准号:
    2121849
  • 财政年份:
    2022
  • 资助金额:
    $ 32.56万
  • 项目类别:
    Standard Grant
DISSERTATION RESEARCH: Using Covariance to Test Hypotheses about the Function and Underlying Genetic Control of Multi-component Signals
论文研究:利用协方差检验有关多分量信号的功能和潜在遗传控制的假设
  • 批准号:
    1601335
  • 财政年份:
    2016
  • 资助金额:
    $ 32.56万
  • 项目类别:
    Standard Grant
REU Site: Models in Evolution, Ecology and Systematics
REU 网站:进化、生态学和系统学模型
  • 批准号:
    1560139
  • 财政年份:
    2016
  • 资助金额:
    $ 32.56万
  • 项目类别:
    Standard Grant
CAREER: The Genetics of Species Differences: Drosophila Courtship Signals and their Preferences
职业:物种差异的遗传学:果蝇求偶信号及其偏好
  • 批准号:
    0347419
  • 财政年份:
    2004
  • 资助金额:
    $ 32.56万
  • 项目类别:
    Continuing Grant

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Active-site models unravel mechanism of enzymatic alkane activation
活性位点模型揭示了酶促烷烃活化的机制
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REU 网站:发现的未来:培训学生构建和应用开源机器学习模型和工具
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