RTG: Research Training in Mathematical and Computational Biology

该RTG计划将继续发展数学和计算生物学跨学科研究和培训的综合计划，该计划位于犹他州大学数学系内。 培训部分将为学生提供高水平的数学培训，大量接触生物学问题和技术，以及与实验生命科学家交流和合作的丰富经验。 研究部分将开发和使用数学和计算方法来研究复杂的生物过程，围绕生物流体，生态学和进化生物学，神经科学和生理学四大研究主题组织。 学生在该计划的培训将包括传统和非传统的课程，期刊俱乐部，研讨会，实验室轮换，校外研究经验，研究小组会议，指导，咨询和教学经验，以及各种专业发展经验。 学生将在高度互动的环境中接受数学家和实验学家的研究指导，在这种环境中，他们学习必要的生物学，并培养进行非传统，跨学科，前沿研究的能力。 该计划将培养数学和计算生物学方面完全整合的协作研究人员，学者和教育工作者，从而在现代生物学的挑战性问题上发挥数学的力量。 许多合作研究项目将启动作为我们的研究培训模式的结果，因为学生成为与其他部门和机构的其他学生和教师从事。 通过将受过定量训练的个人置于医学和生物学问题处于最前沿的环境中，新见解和发现的可能性确实非常突出。该计划的长期影响将是新一代应用数学科学家，他们可以有效地在传统学科之间以及学术界，工业界和公共部门之间建立桥梁。

This RTG program will continue the development of a comprehensive program of cross-disciplinary research and training in Mathematical and Computational Biology, housed within the Department of Mathematics at the University of Utah. The training component will give students a high level of mathematical training, substantial exposure to biological problems and techniques, and extensive experience in communication and collaboration with experimental life scientists. The research component will develop and use mathematical and computational methods to study complex biological processes, organized around four major research themes of biofluids, ecology and evolutionary biology, neuroscience and physiology. The training of students in this program will include traditional and non-traditional coursework, journal clubs, seminars, laboratory rotations, extramural research experiences, research group meetings, mentoring, consulting and teaching experiences, as well as a variety of professional development experiences. Students will receive research mentoring by mathematicians and experimentalists in a highly interactive setting in which they learn the necessary biology and develop the ability to do non-traditional, cross-disciplinary, cutting edge research. This program will train fully integrated, collaborative researchers, scholars and educators in mathematical and computational biology, thus bringing to bear the power of mathematics on the challenging problems of modern biology. Many collaborative research projects will be initiated as a result of our research training paradigm, as students become engaged with other students and faculty in other departments and institutions. By placing quantitatively trained individuals in an environment where medical and biological problems are at the forefront, the possibilities for new insights and discoveries are truly outstanding. The long term effect of this program will be a new generation of applied mathematical scientists who can work effectively to build bridges between traditional disciplines and among academia, industry and the public sector.