Meetings/Workshops on Applied Mathematics (in general) in France

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{MB}² Conference — Mathematical Biology Modelling days of Besançon
19 Jun 2018 - 22 Jun 2018 • Besançon, France
This international conference intends to bring together researchers from two communities, mathematics and biology, in order to share reflections on contemporary and emerging research on mathematical modelling in different fields of biology and life sciences. The {MB}² takes place in the activities of The year of Mathematical Biology 2018, a joint venture of the European Mathematical Society (EMS) and the European Society for Mathematical and Theoretical Biology (ESMTB).
mathematical modelling in: Epidemiology Ecosystem structure and dynamics Ecotoxicology Oncology Cellular heterogeneity and dynamics Food webs and interactions between species Fluid flow in biology Genome evolution
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NASCA18 — Numerical Analysis adn Scientific Computing with Applications
02 Jul 2018 - 06 Jul 2018 • Kalamata, France
The aim of this conference is to bring together researchers working in numerical analysis, scientific computation and applications. Participants will present and discuss their latest results in these areas.
Phone: [0033626622981];     Email:
Linear Algebra, PDE's, Optimisation, Approximation, Ill-posed problems, Eigenvalue Problems with Preconditioning.
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Mathematical Perspectives in the Biology and Therapeutics of Cancer
09 Jul 2018 - 13 Jul 2018 • CIRM Luminy, Marseille, France
This workshop aims to bring together specialists and young researchers from different mathematical backgrounds (modeling, numerical simulations and analysis), working in the field of oncology and from the world of oncology and oncopharmacology. This workshop follows other successfully-organized workshops at CIRM (2009, 2011, 2015). Bringing closer the worlds of mathematicians, oncologists and biologists is a very promising way of setting trans-disciplinary collaborations. Important progress has been achieved in the discipline of onco-mathematics in the last decade and we will look at a variety of topics, among which: Evolution and cancer (atavistic theory and moving epigenetic landscape); Drug resistance; Heterogeneity in cancer cell populations; Upscaling models (from ODEs in single cells to structured PDEs in cell populations); Metabolism, stemness and epigenetic treatments; Biomarkers, imagery etc.
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CEMRACS — Numerical and Mathematical Modeling for Biological and Medical Applications: Deterministic, Probabilistic and Statistical Descriptions
16 Jul 2018 - 24 Aug 2018 • CIRM Luminy, Marseille, France
CEMRACS'18 will be the twenty-third of the series and will focus on the mathematical models applied to natural sciences. For several years, application of mathematics to biology or medicine has become a major field of interest. Important progress has been made in multiscale and multiphysics modeling, from both the theoretical and numerical aspects. These simulations can be viewed as an alternative to in vivo or in vitro experiments and may be referred to as in silico experiments. The contribution of mathematical and numerical models to research and development in the biomedical field can be at several levels: provide valuable tools to understand/explain the underlying biomedical phenomena or the observations;help to make a prediction; be integrated as a part of the decision process as an optimization tool. The one-week summer school strating July 16 will be followed by an intensive 5-week long research session in groups.
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Masterclass in Bayesian Statistics (part of the Jean-Morlet Chair)
22 Oct 2018 - 26 Oct 2018 • CIRM Luminy, Marseille, France
Most scientific fields now face the issue of "big data", ie the influx of massive datasets, potentially with multiple and complex structure and, to deal with this data deluge, the Bayesian approach sounds particularly promising. This masterclass school aims at introducing novel and state-of-the art algorithmic and inferential tools, from advanced algorithms (Approximate Bayesian computation (ABC), synthetic likelihood, indirect inference, noisy and consensus Monte Carlo, Langevin diffusion subsampling, Hamiltonian Monte Carlo, sequential and asynchronous methods) to inference techniques for large data sets (synthetic likelihood, indirect and non-parametric inference, pseudolikelihood, variational approaches, automatic selection of summaries).
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Last updated: 18 February 2018