222 systems-science-"https:"-"https:"-"https:"-"https:"-"C.N.R" positions at ETH Zurich
Sort by
Refine Your Search
-
The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
-
. LunarLeaper serves as a technology pathfinder for advanced planetary systems, autonomy, and system integration, and provides a unique environment for developing and maturing high-risk, high-reward space systems
-
ETH Zürich ETH Zurich 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
-
Engineering, ETH Zurich, Basel) and the University Hospital Heidelberg / German Cancer Research Center (Heidelberg, Germany). Project background Glioblastoma (GB) is the most aggressive primary brain cancer in
-
-of-the-art geophysical equipment. The Institute of Geophysics at ETH Zurich is embedded in a vibrant Earth and Planetary Sciences department offering many opportunities for collaborative projects
-
As a Sales Support Engineer at Tethys Robotics, you are responsible for the planning, organization, and execution of product demonstrations, pilots, and trainings at customer sites worldwide. You
-
We seek a highly motivated PhD student for a multidisciplinary project across two groups: (i) The Sustainable Agroecosystems (SAE) group in the Department of Environmental Systems Science at ETHZ
-
Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in the Laboratory of Building Energy Materials
-
applications, review processes, evaluation details, results, or reasons for acceptance or rejection. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
-
NLP is highly welcome. For computational candidates: experience in large-scale ML training (multi-node setups, distributed training) is a strong advantage. Good computational engineering practices