Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
engineering, tissue engineering, and the biomedical field You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare , and
-
sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive
-
of regenerative medicine, robotics, and medical devices/bionic technologies. Job description As Robotics Machine Learning Intern, you will occupy a pivotal role in the development and design of our future robotic
-
of traffic management and control strategies in urban and freeway environments. At the same time, data-driven methodologies and machine learning offer new opportunities for optimal traffic management
-
100%, Zurich, fixed-term The Chair of Space Geodesy invites applications for an exciting PhD opportunity focused on advancing research in satellite gravimetry for hydrology using machine learning
-
public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits . chevron_right Working, teaching and research at ETH Zurich We
-
consortia. Good grasp of satellite- and airborne sensing, geospatial data platforms, and AI-enabled analytics, or demonstrable capacity to learn rapidly. The relevant, sector specific professional network
-
. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
-
upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
-
efficiency, particularly with respect to latency. Project background The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted