Computational Biology and Bioinformatics Training Program

 描述（由申请人提供）：杜克大学计算生物学和生物信息学（CBB）项目是一个博士前培训项目，招收自己的学生并授予他们博士学位。度完成后。这个跨学科的计划提供了严格的，从计算机科学，统计学，数学，物理学和工程定量方法上下文培训，使学生能够成功地解决跨生物医学科学的当代挑战。此外，CBB培训学生1）独立工作，并作为协作团队的一部分，2）负责任地进行研究，特别致力于数据共享和可重复的分析，3）有效地将科学传达给广泛的受众，4）在正式和非正式的环境中教学，5）发展他们的专业和领导技能，为他们的职业生涯做准备。CBB继续在校园中发挥其独特的作用，培养学生成为定量和生物医学科学交叉领域的领导者。CBB通过课程，研究轮换，期刊俱乐部，每周研讨会，吸引CBB内外的研究人员，以及来自热心顾问，联合顾问和论文委员会的实践指导，提供定量和生物医学科学的高质量培训。这是由负责任的研究行为（作为一个新的重点，在可重复的数据分析）和教学的培训，以及与每个学生的个人发展计划相一致的专业发展机会的补充。CBB具有包容性和智力丰富的互动，协作和社区文化，在其每周研讨会，年度务虚会和全年的社会活动中培养。CBB汇集了来自18个部门的55名教师，在计算生物学的广泛主题中进行前沿研究。教师享受该计划的协作性质，这转化为CBB活动的高参与率。他们的重要出版记录，培训经验和可用资金使他们成为优秀的研究导师。CBB的申请人库是强大的，它的选择性（16%）是优秀的，它的留存率（87%）是突出的，它的平均时间博士学位。5.28岁。到目前为止，CBB已经产生了37个博士学位。毕业生，并有完美的记录，把这些毕业生在学术界，工业界和政府实验室的优秀职位。被批准为授予学位的博士。CBB于2002年开始实施该计划，2005年首次获得NIH T32培训补助金资助，2011年T32更新了4个资助名额。然而，CBB通常每年招收约8名新生，因此T32仅支持25%的一年级和二年级学生。鉴于CBB的使命与广泛的NIH目标的一致性，其在校园中独特的培训作用，其培训的高质量，其将毕业生置于学术界，工业界和政府实验室的优秀职位的完美记录，以及申请人的规模和素质的增长，CBB要求增加到8个资助名额。CBB有8个名额，每年可以招收10名新生，T32将支持40%的一年级和二年级学生。

 DESCRIPTION (provided by applicant): The Duke University Program in Computational Biology and Bioinformatics (CBB) is a predoctoral training program that admits its own students and grants them Ph.D. degrees upon completion. This interdisciplinary program provides rigorous, contextual training in quantitative approaches from computer science, statistics, mathematics, physics, and engineering so that its students are enabled to successfully address contemporary challenges across the biomedical sciences. In addition, CBB trains students to 1) work independently and as part of collaborative teams, 2) conduct research responsibly, with a particular commitment to data sharing and reproducible analysis, 3) effectively communicate science to a broad range of audiences, 4) teach in formal and informal settings, and 5) develop their professional and leadership skills in preparation for their careers. CBB continues to grow and flourish in its unique role on campus of training students to become leaders at the intersection of the quantitative and biomedical sciences. CBB provides high-quality training in both quantitative and biomedical sciences through coursework, research rotations, journal clubs, a weekly seminar that attracts researchers both within and beyond CBB, and hands-on mentoring from enthusiastic advisors, co-advisors, and dissertation committees. This is supplemented by training in responsible conduct of research (and as a new focus, in reproducible data analysis) and teaching, as well as by professional development opportunities that align with each student's individual development plan. CBB has an inclusive and intellectually rich culture of interaction, collaboration, and community, cultivated at its weekly seminar, annual retreat, and social events throughout the year. CBB brings together 55 faculty from 18 departments to conduct cutting-edge research across a wide range of topics in computational biology. Faculty enjoy the collaborative nature of the program, which translates into high participation rates in CBB activities. Their significant publication records, training experience, and available funding make them excellent research mentors. CBB's applicant pool is strong, its selectivity (16%) is excellent, its retention rate (87%) is outstanding, and its average time to the Ph.D. degree is 5.28 years. To date, CBB has produced 37 Ph.D. graduates and has a perfect track record of placing these graduates into excellent positions across academia, industry, and government labs. Approved as a degree-granting Ph.D. program in 2002, CBB first received NIH T32 training grant funding in 2005, and the T32 was renewed in 2011 with 4 funded slots. However, CBB typically admits ~8 new students each year, so the T32 supports just 25% of first- and second-year students. Given the alignment of CBB's mission with broad NIH goals, its unique training role on campus, the high quality of its training, its perfect record of placing its graduates into excellent positions in academia, industry, and government labs, and the growth in size and caliber of its applicants, CBB requests an increase to 8 funded slots. With 8 slots, CBB could admit 10 new students each year, and the T32 would support 40% of first- and second-year students.