Computational and mathematical modeling of biomedical systems

描述(由申请者提供)：该计划将通过博士前水平的跨学科培训，为科学家在具有重要医学意义的生物系统的计算分析和数学建模方面的研究生涯做准备。亚利桑那大学以其完善的跨学科研究生课程体系和跨部门合作的传统而闻名，为此类培训提供了非常合适的环境。17名培训教员和2名副教员在多个系和跨学科研究生课程中任职，在三个广泛的领域提供优势：分子动力学；细胞过程；生理学和病理生理学。学生将主要来自应用数学的跨学科课程和跨学科的生物化学和分子与细胞生物学课程。来自其他研究生项目的合格学生也将有资格。在大多数情况下，学生将从研究生培训的第二年开始获得支持。学员将继续学习他们自己研究生课程的课程要求，此外还将学习生物信息学、生物统计学和数学建模方面的研究生课程，这些课程是根据他们不同的科学背景量身定做的。受训者将参加每周一次的生物数学研讨会，该研讨会已连续举办了十多年，旨在促进主要具有数学或计算背景的受训者和教职员工与具有强大生物培训的受训者和教职员工之间的对话。受训者将与顾问一起进行博士研究，他们的研究无论是理论上的还是实验上的，都强调将理论方法应用于生物医学问题。在适当的情况下，将任命一名联合顾问，以补充主要顾问的专业知识。参与该项目的学员不仅将接受相关领域的研究培训，还将发展跨越传统学科边界的沟通和合作能力，并与具有互补专业知识的研究人员合作。在生物医学科学的许多领域，迫切需要具有这种技能的研究人员，在这些领域，需要复杂的理论方法才能取得进一步的进展。相关性：在生物医学的许多领域，为了取得进一步的进展，复杂的理论方法是必要的。该计划将通过博士前水平的跨学科培训，为科学家在具有重要医学意义的生物系统的计算分析和数学建模方面的研究生涯做好准备。

DESCRIPTION (provided by applicant): This program will prepare scientists for research careers in the computational analysis and mathematical modeling of medically significant biological systems through interdisciplinary training at the predoctoral level. Noted for its well-established system of interdisciplinary graduate programs and for its tradition of collaborations across departmental boundaries, the University of Arizona provides a highly suitable environment for such training. Seventeen training faculty and two associate faculty with appointments in multiple departments and interdisciplinary graduate programs provide strength in three broad areas: molecular dynamics; cellular processes; physiology and pathophysiology. Students will be drawn primarily from the interdisciplinary Program in Applied Mathematics and the cross-disciplinary Biochemistry and Molecular & Cellular Biology Program. Qualified students from other graduate programs will also be eligible. In most cases, students will receive support starting in their second year of graduate training. Trainees will pursue the coursework requirements of their own graduate programs and will, in addition, take graduate courses in bioinformatics, biostatistics and mathematical modeling tailored to their diverse scientific backgrounds. Trainees will take part in a weekly biomathematics colloquium that has been running continuously for more than a decade and promotes dialog between trainees and faculty with primarily mathematical or computational backgrounds and those with strong biological training. Trainees will carry out doctoral research with advisors whose research, whether theoretical or experimental, emphasizes application of theoretical approaches to biomedical problems. Where appropriate, a co-advisor will be appointed to provide complementary expertise to that of the primary advisor. Trainees participating in this program will not only receive research training in relevant areas, but will also develop the ability to communicate and collaborate across traditional disciplinary boundaries and to work with researchers with complementary expertise. Researchers with such skills are critically needed in many areas of biomedical science in which sophisticated theoretical approaches are necessary in order to achieve further progress. Relevance: In many areas of biomedical science, sophisticated theoretical approaches are necessary in order to achieve further progress. This program will prepare scientists for research careers in the computational analysis and mathematical modeling of medically significant biological systems through interdisciplinary training at the predoctoral level.