{"id":2,"date":"2014-11-12T17:26:19","date_gmt":"2014-11-12T16:26:19","guid":{"rendered":"http:\/\/compsysbio.webconf.inrialpes.fr\/?page_id=2"},"modified":"2019-03-01T08:26:43","modified_gmt":"2019-03-01T07:26:43","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/compsysbio2019\/","title":{"rendered":"CompSysBio 2019"},"content":{"rendered":"

<\/p>\n

We are excited to announce the\u00a0Advanced Lecture Course on Computational Systems Biology<\/em>, that will be held in the Aussois\u00a0ski resort<\/a> (France) between March 31st and April 6th, 2019.<\/p>\n

This will be the 3rd edition of CompSysBio; for the previous two editions see CompSysBio 2015<\/a> and CompSysBio 2017<\/a>.<\/p>\n

Systems Biology<\/em> aims at describing living systems on the basis of the modeling of their complex inner and outer interactions. It provides conceptual and methodological frameworks to think biological systems, allowing to derive the falsifiable consequences of current models as confronted with the mass of molecular, cellular, physical and physiological data. Systems Biology is therefore intrinsically interdisciplinary, requiring strong interaction between researchers from biology and more formal sciences.<\/p>\n

The Course emphasis is methodological and targets participants from Computer Science, Mathematics and Physics, in addition to biologists motivated by Systems Biology. Sessions are therefore preferentially organized around methodological issues: control theory, dynamical systems, spatio-temporal models, network inference and analysis, evolutionary systems dynamics, with a constant eye on biological relevance.<\/p>\n

The Course will\u00a0be an opportunity for participants to interact directly with prominent scientists<\/a> in this rapidly growing field. In order to facilitate casual interactions, there will be time for skiing in the afternoon. The pedagogical scheme is\u00a0as follows (see programme<\/a>):<\/p>\n