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  1. Population dynamics overlap with another active area of research in mathematical biology: mathematical epidemiology, the study of infectious disease affecting populations.[1]
  2. The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena.[2]
  3. Mathematical biology is a broad topic that can cover a large range of length scales, from the submicron lengths of DNA polymers to the kilometer length scales of migration patterns of animal herds.[3]
  4. In addition, we celebrate our members’ key contributions to the field of mathematical biology through various international awards.[4]
  5. In addition to an attractive campus that borders beautiful conservation lands, McMaster has a number of features that make it an excellent place to do research in mathematical biology.[5]
  6. There is every reason to believe that embarking on a career in mathematical biology is likely to be exciting and very rewarding.[5]
  7. The Department also offers an opportunity for students to graduate with departmental honors in mathematical biology.[6]
  8. The department's Undergraduate Committee is responsible for certifying students who graduate with departmental honors in mathematical biology.[6]
  9. The research interests of biomathematics faculty and current students are described elsewhere on this website.[7]
  10. Another good place to look is the February 6th 2004 edition of the journal Science (volume 303) which contains a series of articles on various areas of mathematical biology.[7]
  11. Thus the proposed structure will maximize the integration of the field of mathematical biology from a mathematical perspective.[8]
  12. The Department of Mathematics has a prominent program in mathematical biology, with current strength in Mathematical Ecology .[9]
  13. Yu Jin has research interest in applied mathematics with the main focus on dynamical systems and mathematical biology.[9]
  14. Emeritus Professor Steve Dunbar has research interests in nonlinear differential equations, and applied dynamical systems, particularly those which arise in mathematical biology.[9]
  15. Graduates with this degree have the background and interdisciplinary skills for careers in technical industries and to pursue graduate degrees in biomathematics, biostatistics and bioinformatics.[10]
  16. The mathematical biology concentration consists of five courses, an integrative project, and participation in a Math Biology Symposium.[11]
  17. All concentrators are required to take MaBio 130: Exploring Biomathematics.[11]
  18. In addition, the symposium is an event that brings together all the students in the concentration, thus strengthening the mathematical biology community here at St. Olaf.[11]
  19. To gain an understanding of mathematical biology, you engage in a combination of coursework and participation in research on open-ended problems in the biological sciences.[12]
  20. This series aims to capture new developments in mathematical biology, as well as high quality work summarizing or contributing to more established topics.[13]
  21. Publishing a broad range of textbooks, reference works, and handbooks, the series is designed to appeal to students, researchers, and professionals in mathematical biology.[13]
  22. This, of course, should be the aim of any mathematical biology modelling, namely to stimulate in any way whatsoever any endeavour which results in furthering our understanding of biology.[14]
  23. Mathematical biology now has active researchers, numbering in the thousands, in practically all of the biomedical sciences.[14]
  24. This minor gives students a theoretical background and practical skills in mathematical biology.[15]
  25. As a student in the mathematical biology and bioinformatics concentration, you’ll be introduced to the key tools and developments in these fields.[16]
  26. As a response to this urgent need, a new scientific field - mathematical biology and bioinformatics - appears.[17]
  27. - Mathematical biology, wich aims at the mathematical representation, treatment and modeling of biological processes, using a variety of applied mathematical techniques and tools.[17]

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