Edinburgh Mathematical Biology Conference About this Event Image Registration for the Edinburgh Mathematical Biology 2023 Conference is now open. You can find the Conference Programme and complete the registration forms here. Registration for the conference is free, however, there are limited spaces for attendees and posters. The conference will be held in person over two days, on Wednesday, May 24th and Thursday, May 25th, in the Bayes Centre (room G.03) of the University of Edinburgh. It will consist of 14 invited talks and a poster session. The main goal of the conference is to offer a platform for a range of researchers from within the United Kingdom and the Continent to share recent advances in mathematical modelling in biology. As biological processes typically happen on different scales in either time or space, the mathematical focus of the conference will be om multiple-scale analysis and perturbation theory. This conference will aim of strengthening the standing of Mathematical Biology at the Maxwell Institute and of enhancing collaboration between staff and students whose research interests lie primarily in the mentioned area. In addition to the talks schedule and the poster session, ample time will be allocated for discussion, with the aim of initiating new collaborations between attendees. To facilitate those exchanges, catering will be provided in the form of coffee breaks, lunch, and a drinks reception. You can find the Conference Programme and complete the registration forms here. May 24 2023 00.00 - May 25 2023 23.59 Edinburgh Mathematical Biology Conference The main goal of the conference is to offer a platform for a range of researchers from within the United Kingdom and the Continent to share recent advances in mathematical modelling in biology. The conference will be held in person over two days, on Wednesday May 24th and Thursday May 25th, in the Bayes Centre (room G.03). Registration
Edinburgh Mathematical Biology Conference About this Event Image Registration for the Edinburgh Mathematical Biology 2023 Conference is now open. You can find the Conference Programme and complete the registration forms here. Registration for the conference is free, however, there are limited spaces for attendees and posters. The conference will be held in person over two days, on Wednesday, May 24th and Thursday, May 25th, in the Bayes Centre (room G.03) of the University of Edinburgh. It will consist of 14 invited talks and a poster session. The main goal of the conference is to offer a platform for a range of researchers from within the United Kingdom and the Continent to share recent advances in mathematical modelling in biology. As biological processes typically happen on different scales in either time or space, the mathematical focus of the conference will be om multiple-scale analysis and perturbation theory. This conference will aim of strengthening the standing of Mathematical Biology at the Maxwell Institute and of enhancing collaboration between staff and students whose research interests lie primarily in the mentioned area. In addition to the talks schedule and the poster session, ample time will be allocated for discussion, with the aim of initiating new collaborations between attendees. To facilitate those exchanges, catering will be provided in the form of coffee breaks, lunch, and a drinks reception. You can find the Conference Programme and complete the registration forms here. May 24 2023 00.00 - May 25 2023 23.59 Edinburgh Mathematical Biology Conference The main goal of the conference is to offer a platform for a range of researchers from within the United Kingdom and the Continent to share recent advances in mathematical modelling in biology. The conference will be held in person over two days, on Wednesday May 24th and Thursday May 25th, in the Bayes Centre (room G.03). Registration
May 24 2023 00.00 - May 25 2023 23.59 Edinburgh Mathematical Biology Conference The main goal of the conference is to offer a platform for a range of researchers from within the United Kingdom and the Continent to share recent advances in mathematical modelling in biology.
