Excellent basic research as well as inter- and transdisciplinarity is our foundation and strength. In our eminent networks, we conduct research nationally and internationally across disciplines and faculties, in Switzerland, Europe and worldwide.
With our wide range of study programs, attractive combination options in the major/minor system and the early inclusion of research elements in the degree course, we are training the next generation of natural scientists for the future to come.
As largest faculty of mathematics and natural sciences in Switzerland, and second largest UZH faculty, we offer outstanding working, research and learning conditions and enable to discover the fascinating world of mathematics and sciences.
Plant diversity enhances ecosystem multifunctionality via multitrophic diversity
An international research team has shown that, in both forest and grassland ecosystems, the association between multitrophic diversity and multifunctionality was stronger than the relationship between the diversity of individual trophic groups and multifunctionality. Prof. Bernhard Schmid from the University of Zürich is part of the research team and senior author of the study.
«Wenn wir Biodiversität verlieren, verlieren wir Produktivität»
Von der Buche bis zum Erdmännchen: Im «Talk im Turm» beleuchteten UZH-Forschende die Gefahren einer sinkenden Biodiversität in der Schweiz und in der Kalahari-Wüste.
The new exhibiton "U(ZH)N/EARTH - Art and Science 1600 meters below ground" at Science Pavilion UZH combines the search for the invisible with the beauty of art.
18.9.2024, 11:15: Evidence-based evaluation of the roles and application of plant peptides for the sustainable improvement of crop resistance to biotic and abiotic stresses
23.9.2024, 09:30: MSc Exam | Rose Cecile Nelson: Countering Colonial Amnesia in Switzerland: Decolonizing and Pluralizing Knowledge towards Transformative Change
23.9.2024, 09:30: MSc Exam | Rose Cecile Nelson: Countering Colonial Amnesia in Switzerland: Decolonizing and Pluralizing Knowledge towards Transformative Change
23.9.2024, 11:00: MSc Exam | Jeremiah Huggel: Assessing Machine Learning Methods to Detect Bois Noir in Vineyards - Towards a systematic monitoring approach with spectroradiometry and RPAS data to reduce farmers’ manual detection time
