Genetic Mechanisms and Evolution

最近的技术进步已经改变了遗传学研究，社会变化引起了重大的 研究生教育、研究培训和指导的最佳实践的转变。我们提出了一个创新的 跨学科博士前T32计划，遗传机制和进化（GME），这是具体的 以应对这些变化带来的挑战和机遇。GME计划将培训一名 世界一流博士的多元化群体分子、统计和进化遗传学科学家 研究谁将成为下一代创新的科学领导人在遗传学。培训将 确保在这些领域发展多学科能力，并在以下方面奠定坚实的基础： 为每个学生提供定量和计算分析。 GME培训计划利用了芝加哥大学在遗传学方面的世界级实力。 导师包括56名教师，他们在研究和研究生培训方面有着非凡的记录，来自14个 跨进化，统计和分子遗传学领域的部门。此外，大学的 独特的组织结构将遗传学的所有领域纳入一个单一的部门， 我们提出的跨学科计划。18个已供资职位的受训人员将从9个职位中有选择地挑选， 跨学科领域的研究生课程。潜在的受训人员非常合格， 多样化（在过去5年中，49%为妇女，26%为URM）。 受训人员将在学习的第2 - 3年获得资助，但他们将参加培训和咨询 从入学到毕业的活动。新的跨学科核心课程和广度要求 将培养学生在分子，统计和进化遗传学方面的基础，并在以下方面建立强大的技能： 编程和统计。专业研讨会和年度黑客会议将提供进一步严格的 现代遗传数据的计算和定量分析培训。正式的写作指导沿着 在赠款写作和口头陈述技能讲习班将培训科学家有效的沟通和帮助 改善来自不同背景的学生在准备方面的差异。个人发展计划， 导师-学员合同、教师导师培训和同伴指导将促进学员的成功， 一个相互支持的教师和学生社区的成长。参与开创性职业 发展计划将支持学员寻找和准备各种博士后的职业道路。 招聘和留住日益多样化的学生群体将进一步加强， 参与管道和推广计划，为新生提供桥梁活动，以及教师培训， 提高培训环境和招生过程的包容性。所有这些活动--建立在 一个特殊的受训人员，培训人员和机构支持骨干的优势-将使我们能够招聘， 培养21世纪世纪遗传学研究的未来领袖。

Recent technological advances have transformed genetics research, and social changes have caused major shifts in best practices for graduate education, research training, and mentoring. We propose an innovative interdisciplinary predoctoral T32 program, Genetic Mechanisms and Evolution (GME), which is specifically crafted to meet the challenges and opportunities presented by these changes. The GME program will train a diverse group of world-class Ph.D. scientists in molecular, statistical, and evolutionary genetics research who will serve as the next generation of innovative scientific leaders in genetics. Training will ensure development of multidisciplinary competence across these fields, with a strong foundation in quantitative and computational analysis for every student. The GME training program leverages the world-class strength of the University of Chicago in genetics. Mentors include 56 faculty with extraordinary records of research and graduate training, drawn from 14 departments across the fields of evolutionary, statistical, and molecular genetics. Further, the University’s unique organizational structure brings all areas of genetics into a single division and makes possible the interdisciplinary program we propose. Trainees for 18 funded positions will be selectively drawn from 9 graduate programs across disciplinary areas. The pool of potential trainees is extraordinarily well-qualified and diverse (49% women and 26% URM over the last 5 years). Trainees will be funded in years 2-3 of their studies, but they will participate in training and advising activities from matriculation through graduation. A new interdisciplinary core course and breadth requirements will develop student foundations in molecular, statistical, and evolutionary genetics and build strong skills in programming and statistics. Specialized workshops and an annual hackathon will provide further rigorous training in computational and quantitative analysis of modern genetic data. Formal writing instruction along with workshops in grant-writing and oral presentation skills will train scientists for effective communication and help ameliorate disparities in preparation among students from diverse backgrounds. Individual development plans, mentor-mentee contracts, faculty mentor training, and peer mentoring will facilitate trainee success and allow growth of a mutually supportive community of faculty and students. Participation in a pioneering career development program will support trainees in finding and preparing for a variety of post-PhD career paths. Recruitment and retention of an increasingly diverse group of students will be further strengthened by participating in pipeline and outreach programs, bridge activities for new students, and faculty training to enhance the inclusivity of the training environment and admissions process. All these activities -- building on the strengths of an exceptional cadre of trainees, trainers and institutional support – will allow us to recruit and train the future leaders of 21st century genetics research.