From December 10 to 15, the Pucón Campus of Universidad de La Frontera receives researchers and students from multiple disciplines related to geometry for this international event organized by the Research Center Geometry at the Frontier.
The student Víctor Marín Mosi, of the Doctoral Programme in Science with specialisation in Applied Cellular and Molecular Biology of Universidad de La Frontera (UFRO), carried out an internship at the University of Potsdam in Germany.
The inauguration of this new space for the Department of Civil Engineering of Universidad de La Frontera (UFRO) is an important milestone for the development of the undergraduate and graduate students and researchers of the Faculty of Engineering and Science.
The doctoral student Luis Martínez Durán of the Doctorate in Science with specialization in Applied Cellular and Molecular Biology at Universidad de La Frontera (UFRO) went to Karolinska Institute in Stockholm, Sweden, for an international internship.
It was the first time that part of the team of the journal “CUBO, A Mathematical Journal” of Universidad de La Frontera (UFRO) participated in the Council of Science Editors (CSE) Annual Meeting, which took place in Toronto, Canada, this year.
During their stay in Chile, the delegation of academics and students of the Bachelor of Architecture and Future Environments of Auckland University of Technology (AUT) in New Zealand visited the Andrés Bello Campus and Pucon Campus of Universidad de La Frontera (UFRO) and got to know some of the beautiful landscapes of the La Araucanía region.
- Ufro project will allow identifying changes in volcanic activity in Chile
- Spanish trainee studies extraction of plant proteins from chilean quinoa leaves at Ufro
- UFRO student in civil engineering shares her international student mobility experiences
- Doctoral thesis: from sugar industrial waste to the definite replacement of plastic packaging
- Ufro creates center of excellence in medical physics and engineering
- Department of electrical engineering promotes distance learning