Quantitative Cellular and Molecular Biology Summer School

[Revised] FROM CANADIAN INSTITUTIONS: Interested applicants please apply by the MAY 15th deadline (International applications are now closed).

https://docs.google.com/forms/d/e/1FAIpQLSeKE9D0yKH0_eyxaKtjbFkePShMyYGvJfcpEfUBqaDwn8O4bA/viewform

After your application has been received and acknowledged, please be sure to REGISTER

The Quantitative Cellular and Molecular Biology summer school will be the second edition of the 3MC-PIMS-ICMS schools.

https://julien-arino.github.io/3MC-PIMS-ICMS-Winnipeg-2025

The 3MC – PIMS – IDMS – ICMS Summer School is co-organised under the umbrellas of 3MC, PIMS and ICMS. It is funded by PIMS and, as an Increasing Diversity in Mathematical Sciences (IDMS) Summer School, through AARMS, CRM, Fields Institute and PIMS. It will be held in on the Fort Garry campus of the University of Manitoba in Winnipeg, from 16 to 27 June 2025. Topics of the school are Quantitative molecular and cellular biology.

SCHEDULE

SCHOOL STRUCTURE

Lectures
Each day includes three 1.5-hour sessions by mathematicians and biologists, covering biological problems, theoretical concepts, applications, and computational tools. To ensure the access to the material, lecture notes, slides, and codes are uploaded to GitHub.

Project Work
Students work in small, diverse groups on assigned research problems, applying lecture content. Instructors provide guidance, and students present their findings at the end of the school in oral presentations and written reports. Students are grouped based on their academic and geographic backgrounds, promoting collaborative learning and research.

Topics
The summer school aims to equip students with essential tools and methodologies for investigating complex molecular and cellular questions. Courses will cover techniques relevant to structural, molecular, and cellular biology, all driven by specific biological questions. Cancer will be used as an integrative example throughout the program.

Biological interests

  • Structures and topology of molecules
  • Transport in cells
  • Proteins interactions and signalling pathways
  • Cell shapes and structures
  • Introduction of cancer biology

Methodology

  • Graph theory and applications in biology
  • Geometric and statistical methods in biological data analysis
  • Mathematical and computational modelling of cellular and molecular biology
  • Stochastic processes and dynamical systems in biological systems