The Serrapilheira/ICTP-SAIFR Research Training Program in Quantitative Biology will train young Brazilian and other Latin American scientists for world-class research on biology and ecology using the quantitative methods of mathematics, physics, and computer science. It strategically makes use of the country’s well-established excellence in mathematics and physics to tap into Brazil’s tremendous potential in life sciences.
Brazil’s ecosystems are among the richest in the world, and it is becoming increasingly clear that their inherent complexity poses enormous scientific challenges to find solutions that allow them to survive and flourish. The goal is to build an interconnected network of highly skilled scientists who can make significant contributions to advance the field in Brazil and Latin America.
To reach its goal, the training program will be highly selective and involve students at the beginning of their graduate studies who have already developed quantitative skills and are interested in applying these skills in solving cutting-edge problems in biology and ecology. Lectures in all areas of biology and ecology will be presented by international experts, and no previous knowledge of biology is required.
Because of the COVID-19 pandemic, the first edition of the program will take place in a shorter online version during the month of July 2021. There will also be online keynote presentations on March 2 by Prof. Simon Levin (Princeton U.) and on March 4 by Prof. Akiko Iwasaki (Yale U.) to announce the program. Future editions of the training program will take place at ICTP-SAIFR/IFT-UNESP in São Paulo during the 6 month period of January – June, starting in 2022.
Students with quantitative skills who will have finished their undergraduate studies before July 2021 can apply to participate in the four-week online training program by submitting the online application form below before xx.xx.xxxx. Confirmed lecturers in the July program are listed here, and any questions should be sent to secretary@ictp-saifr.org .
