229 systems-science-"https:"-"https:"-"https:"-"https:"-"Central-European-University" positions at ETH Zurich
Sort by
Refine Your Search
-
is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
-
The Albert Einstein School of Public Policy at ETH Zurich is an interdisciplinary centre that combines public policy, science and technology to address the greatest societal challenges of our time
-
human therapies. The D-BSSE is the first truly interdisciplinary research department, uniting theoretical and experimental biology with advanced bioengineering and fostering close collaborations with
-
-inspired human therapies. The D-BSSE is the first truly interdisciplinary research department, uniting theoretical and experimental biology with advanced bioengineering and fostering close collaborations
-
, nanotechnology, and bioelectronics. The D-BSSE is ETH Zurich's first truly interdisciplinary research department uniting theoretical and experimental biology with advanced bioengineering and fostering close
-
, nanotechnology, and bioelectronics. The D-BSSE is ETH Zurich's first truly interdisciplinary research department uniting theoretical and experimental biology with advanced bioengineering and fostering close
-
The research group is looking for an open-minded and flexible co-worker. Your work in lab organisation will help to keep the lab running smoothly, while your committed collaboration will support the
-
knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of Industrial
-
to study plant functional diversity. The Grassland Sciences group is a vibrant and international working group in the Department of Environmental Systems Science at ETH Zurich. We are looking for two
-
scientific productivity. To enhance the efficacy of AI for Science models, it is imperative to integrate simulations that encode prior scientific knowledge within these AI frameworks. This integration is aimed