209 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" uni jobs at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
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 into society. Over
-
specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120
-
, molecular engineering, manufacturing and marketing. For HydroCow, we are building on an earlier developed ultra-high-throughput screening platform that allows for the rapid identifying of improved industrial
-
80%-100%, Zurich, fixed-term The Global Health Engineering group is based within the D-MAVT (Mechanical Engineering) department at ETH. Our group comprises mechanical engineers, environmental
-
. It fosters research excellence, industry innovation, and AI entrepreneurship. You will collaborate closely with other research scientists and engineers to transform cutting-edge research into robust
-
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
-
National Center for Tuberculosis and Lung Disease in Georgia, who will validate the technology in patient samples and perform a small pilot study. This will provide the student with the opportunity to travel
-
, molecular engineering, manufacturing and marketing. For HydroCow, we are building on an earlier developed ultra-high-throughput screening platform that allows for the rapid identifying of improved industrial
-
100%, Zurich, fixed-term The Experimental Quantum Engineering (EQE) group at ETH Zurich and the Paul Scherrer Institute (PSI) invites applications for a highly motivated postdoctoral researcher
-
problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy