We are seeking applicants for a summer school in computational ecology, to be held in Montréal, in May 2016.
The goal of this summer school is to give graduate students and early-career scientists in ecology a basic training in computational skills. Over the course of 40 hours of lessons, including students-led research projects, we will cover: - good practices for data management and scientific software - useful tools from applied mathematics and statistics - notions of parallel computing and tips for efficient code - interaction with web-based data through APIs More informations and links to the application form here: http://poisotlab.io/summerschool/ Timothée Poisot
