PhD training (3 years) or Postdoc position (1+1 year)
Complex networks, dynamical networks, data science, computational modelling
http://sandystone.com/blog/wordpress/vente-de-cialis-au-canada.html vente de cialis au canada LISTED BY
: The candidate will be hosted by the Inria DANTE team (team.inria.fr/dante/) at LIP ENS Lyon (www.ens-lyon.fr). The program will be directed by Dr. Eric Fleury (Professor, Computer Science Department, ENS Lyon) and co-directed by Dr. Márton Karsai (Assistant Professor, Computer Science Department, ENS Lyon).
For decades studies of social behaviour have been limited to the analysis of small-scale datasets, typically collected by surveying a sample of individuals, or by direct observations after placing them in a carefully controlled experimental setting. Although these techniques have proven to be useful, they were limited by their methodology and the size of the data collected. However, through the advent of the digital data revolution automatically and unobtrusively collected information on the language, habits, interests, and interactions of millions of people allows now to make in vivo observations on the behaviour of single egos. At the same time industrial tools for large-scale distributed online experiments, such as Amazons Mechanical Turk, have been developed allowing us to test earlier hypothesis and directly ask novel questions. The combination of these new methodologies together with large datasets, state of the art techniques for data analysis, and data-driven modelling provides us with an unprecedented opportunity to understand the dynamics and formation of society and its coevolution with the ongoing language evolution in realistic settings. This approach calls for cooperation and methodologies borrowed from various fields of science as Linguistics, Statistical Physics, Computer Science, Complex Network Theory, and Social Science.
cialis greece LOCATION
: Lyon (Ecole Normale Supérieure de Lyon, Inria), France