Computational and mathematical modeling of biomedical systems

生物医学系统的计算和数学建模

• 批准号: 10408143
• 负责人: Timothy W. Secomb
• 金额: $ 41.63万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10408143
• 关键词: Computer Models; System; mathematical model

This program prepares scientists for research careers in the computational 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. Fifteen training faculty with appointments in multiple departments and interdisciplinary graduate programs provide strength in five broad areas: bioinformatics; molecular dynamics; cellular processes; physiology and pathophysiology; biostatistics and stochastic processes. Students will be drawn from multiple graduate programs in mathematical and life sciences, including the programs in Applied Mathematics and in Biochemistry and Molecular & Cellular Biology. In most cases, students will receive two years of support from this program, starting in their second or third year of graduate training. Trainees will pursue the coursework requirements of their own graduate programs and, in addition, take graduate courses in mathematical modeling and in bioinformatics, which are tailored to the trainees' needs and take into account their diverse scientific backgrounds. All trainees will take part in a weekly Quantitative Biology Colloquium that has been running continuously for more than twenty years. This colloquium includes presentations by students, faculty and visiting speakers, and promotes dialog between trainees and faculty with primarily mathematical or computational backgrounds and those with strong biological training. It will include components explicitly devoted to training in responsible conduct of research, methods for enhancing reproducibility, and career development including preparation for a range of careers in biomedical research. Trainees will carry out their doctoral research with advisors whose research, whether theoretical or experimental, emphasizes application of theoretical approaches to biomedical problems. Trainees participating in this program will not only receive research training in relevant areas, but, equally importantly, will 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.

该计划为科学家在计算和数学领域的研究生涯做好准备 通过跨学科培训对具有重大医学意义的生物系统进行建模 博士前水平。以其完善的跨学科研究生课程体系而闻名 由于其跨部门合作的传统，亚利桑那大学 为这类培训提供了非常合适的环境。15名培训教职员工 多个部门的任命和跨学科的研究生课程提供了优势 在五大领域：生物信息学；分子动力学；细胞过程；生理学和 病理生理学；生物统计学和随机过程。学生将从多个 数学和生命科学的研究生课程，包括应用科学课程 数学、生物化学和分子细胞生物学。在大多数情况下，学生会 从研究生二年级或三年级开始，接受该项目两年的支持 训练。学员将继续学习他们自己研究生课程的课程要求， 此外，参加数学建模和生物信息学的研究生课程，这些课程包括 根据受训者的需要量身定做，并考虑到他们不同的科学背景。全 受训者将参加每周一次的定量生物学研讨会，该研讨会已经开始 连续二十多年。这次座谈会包括学生的演讲， 教师和客座演讲者，并促进实习生和教师之间的对话，主要是 数学或计算背景，以及具有较强生物训练的人。会的 包括明确用于培训负责任地进行研究、方法 用于加强可再生性和职业发展，包括为一系列 从事生物医学研究的职业。实习生将在导师的指导下进行博士研究 他的研究，无论是理论的还是实验的，都强调理论的应用 解决生物医学问题的方法。参加这项计划的学员不仅将获得 相关领域的研究培训，但同样重要的是，将发展以下能力 跨越传统学科边界进行沟通和协作，并与 具有互补专业知识的研究人员。具有这种技能的研究人员在 生物医学的许多领域，其中需要复杂的理论方法 以取得进一步的进展。