REU Site: Interdisciplinary Computational Biology (iCompBio)

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。该REU网站奖给田纳西大学查塔努加（UTC），位于田纳西州查塔努加，将支持10名学生在2022年至2024年的夏天进行10周的培训。预计共有30名学生，主要来自研究机会有限的学校或来自科学代表性不足的群体，将在该计划中接受培训。学生将学习在细胞生物学，流行病学，生物多样性，蛋白质结构，生物力学，生态学，细菌膜，气候，环境可持续性等领域进行多学科的计算研究。该计划的评估将通过在线SALG URSSA工具进行。学生将在课程结束后进行跟踪，以确定他们的职业道路。参加iCompBio的学生将接受多学科研究的培训。学生将在多个研究领域从事计算生物学的指导研究经验。除了关于生物信息学，高性能计算，数学建模和统计分析等经典计算培训的短期训练营和研讨会外，iCompBio还将提供机器学习/深度学习应用的研究培训，量子计算在计算生物学中的应用，以及研究道德和负责任的研究行为。研究项目将在研究导师的指导下在主机实验室进行。学生将每周举行一次联合计算研讨会，研究项目故障排除，并分享他们的经验和教训。将举行非正式的午餐会，与导师、研究生或嘉宾讨论职业选择、研究公平性和工作与生活平衡等主题。多组郊游到当地和区域景点将采取。两个研究研讨会将与其他基于UTC的夏季研究计划举行。对该计划感兴趣的学生应填写在线申请表，并提交非正式成绩单，个人陈述，简历/CV和两封推荐信。申请将由一个教师团队进行审查。有关该项目的更多信息，请访问http://utc.edu/icompbio或联系PI（秦红博士，hong-qin@utc.edu）或联合PI（王迎峰博士，yingfeng-wang@utc.edu）。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).This REU Site award to the University of Tennessee at Chattanooga (UTC), located in Chattanooga, TN, will support the training of 10 students for 10 weeks during the summers of 2022- 2024. It is anticipated that a total of 30 students, primarily from schools with limited research opportunities or from a group under-represented in science, will be trained in the program. Students will learn to conduct multi-disciplinary computational research in the fields of cell biology, epidemiology, biodiversity, protein structure, biomechanics, ecology, bacterial membranes, climate, environmental sustainability, or others. Assessment of the program will be done through the online SALG URSSA tool. Students will be tracked after the program to determine their career paths. Students participating in iCompBio will receive training in multidisciplinary research. Students will engage in mentored research experiences in computational biology across multiple research fields. In addition to short bootcamps and workshops on classical computational training such as bioinformatics, high-performance computing, mathematical modeling, and statistical analysis, iCompBio will provide research training in the application of machine-learning/deep learning, and quantum computing in computational biology, as well as research ethics and the responsible conduct of research. Research projects will take place in host labs under the guidance of research mentors. Students will meet weekly for joint computing workshops, research project troubleshooting, and to share their experiences and lessons learned. Informal lunch meetings will be held to discuss topics such as career choices, equity in research, and work-life balance with mentors, graduate students, or guests. Multiple group outings to local and regional attractions will be taken. Two research seminars will be held with other UTC-based summer research programs. Students interested in the program should complete an online application form, and submit unofficial transcripts, personal statement, resume/CV, and two letters of recommendation. Applications will be reviewed by a team of faculty. More information about the program is available by visiting http://utc.edu/icompbio or by contacting the PI (Dr. Hong Qin at hong-qin@utc.edu ) or the co-PI (Dr. Yingfeng Wang at yingfeng-wang@utc.edu).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.