Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
join our team and help shape the future of Earth observation in forest management. You will join FORM (the Professorship of Forest Resources Management) and the team that focuses on (1) the acquisition
-
, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
-
developer with a strong background in scientific computing who is eager to lead a development team, drive innovation, and explore commercial opportunities arising from our research. The position is linked
-
create a meaningful impact. Our goal is to design, implement, and evaluate a cannabis-impaired driving detection and prevention system. Building upon previous studies that have been well-recognized
-
-modal signal monitoring (including respiration). Your research could potentially be applied in sports and health. Project background Your research will aim to conceive and design innovative solutions
-
cascading effects throughout the entire project, potentially increasing costs and delaying development, ultimately slowing down innovation within the railway system. A new ETH project “ProCargo”, co-funded by
-
among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
-
science, engineering, computer science, and medicine to find bold, creative solutions to real-world problems. Prof. Menon’s lab is located in the Balgrist Campus , designed to foster collaboration. Built in
-
to push the boundaries of AI research, foster innovation, and drive impactful projects. Project background We are looking for a proactive, hands-on and organized Entrepreneurship & Community coordinator
-
expertise? Through an Impact Collaboration Programme (ICP) project, you can develop creative ways to work together to ensure that the best available knowledge supports the design of solutions to the complex