by Lukas F. Lang (RICAM, Austrian Academy of Sciences, Austria) l…@ricam.oeaw.ac.at Our main motivation is to estimate cell motion in time-lapse volumetric microscopy images depicting
Read moreCategory: ECMI Nodes
Presentation and contributions of various ECMI nodes.
Nanomath 2016
Part of the huge 1960’s electron microscope at CEMES, Toulouse The 3rd Nanomath conference was held this week in Toulouse. The aim of the conference
Read moreNanoparticle synthesis via precipitation from solution
Article written by V. Cregan, CRM Nanotechnology is predicted to play a profound role in the future by impacting a variety of fields such as
Read moreCentre de Recerca Matemàtica Blog
For the remainder of June the ECMI Blog will be under the control of the CRM. Consequently there will be a significant bias towards mathematics
Read moreECMI 2018 announced
During the closing ceremony of the succesful ECMI 2016 conference in Santiago de Compostela the next ECMI conference was announced by Péter L. Simon, secretary-general of
Read moreCarrier development of the students, graduated from the MSc Program “Computational Mathematics and Mathematical Modeling” at FMI, SU
In 2012, the MSc Program in Computational Mathematics and Mathematical Modeling (CMMM) at the Faculty of Mathematics and Informatics, Sofia University, was evaluated by the ECMI
Read moreEuropean Study Group with Industry 118th – Dublin Ireland
This year’s Irish European Study Group with Industry (ESGI), will be held in Dublin in UCD on July 4-8th 2016. ESGI 118 has a wide
Read more30th ECMI Modelling week, Sofia, July 17-24, 2016
The 30th ECMI Modelling week will take place in Sofia, July 17-24. It is organized by the Faculty of Mathematics and Informatics, Sofia University “St. Kliment
Read moreInferential and Clustering Methods for Functional Data
Author: Andrea Ghiglietti Position: Postdoctoral Researcher Affiliation: Department of Mathematics, Università degli Studi di Milano. E-mail address: andrea.ghiglietti@unimi.it In the last two decades, there has
Read moreMathematical and numerical modeling of the cardiac electro-mechanical coupling
Aim. Our goal is to develop effective computational tools to push forward the understanding of the fundamental mechanisms underlying the origin of life-threatening arrhythmias and
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