Location & dates Porquerolles, France 15 - 22 Oct 2016
Deadlines Application closed

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EMBL Courses and Conferences during the Coronavirus pandemic

With the onsite programme paused, many of our events are now being offered in virtual formats.

Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.

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Course Overview

This course is focused on mathematical modeling of biological systems. Key modeling concepts and methods will be introduced and illustrated during morning sessions by international leading experts. Afternoons will be dedicated to extensive practical work in small groups, performed on personal computers. The course will cover standard modern methods to model the living cell, and will introduce the students to advanced computational tools, like Cytosim (http://www.cytosim.org).

Every participant should come with a laptop computer. Large breaks and social activities will foster discussions and networking between all the participants of the course.

The course takes place at Hôtel Club Igesa de Porquerolles, Hyères, France.


It is designed for PhD students and postdocs from biology with a strong interest for modeling and students from a physics/mathematics/computational background willing to work on biological systems. Attendance is limited to 21 students to allow for a high ratio of instructors to students.


Topics covered by the course will range from the description of fundamental stochastic processes at the molecular scale to complex phenomena at the cell scale. A few examples include the modeling of the motions of molecular motors on cytoskeletal filaments, the coarse-grained mathematical descriptions of cell migration by partial-differential equations and the computational modelling of microswimmers or cells in flow.

Learning Outcomes

Students will build simulations with the help of instructors, starting from basic building blocks, and learn efficient use of computing resources. Students will also be encouraged to propose topics based on a problem of their choice.