248 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Multiple" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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 30,000
-
should be directed to jamie.mccaughey@usys.ethz.ch About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education
-
for 07.01. or 09.01.2026 (first round) and 14.01. or 21.01.2026 (second round). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
-
, comprising RDM experts, research software engineers, data scientists, etc. Profile This position requires PhD degree in data / computational science or related field such as physics, bioinformatics
-
information about the position, contact Dr. Kenneth Harttgen (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
-
At the professorship of Geosensors and Engineering Geodesy (GSEG) at ETH Zürich we carry out cutting-edge research and teaching in the areas of geomonitoring, reality capture, high precision
-
100%, Zurich, fixed-term ETH Zurich is a world - leading university dedicated to advancing science and technology. The advertised positions are based at the forthcoming school for public policy
-
. We look forward to receiving your application and welcoming a new researcher to our team at ETH Zurich! ETH Zurich is one of the world’s leading universities specialising in science and technology. We
-
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
-
. The research will contribute to the area of neural input systems. Candidates ideally have a background in Computer Science, Electrical Engineering, or Robotics and prior experience with event detection