Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- Empa
- Nature Careers
- ETH Zürich
- University of Basel
- University of Zurich
- Paul Scherrer Institut Villigen
- CERN - European Organization for Nuclear Research
- ETH ZURICH
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- Fluxim AG
- Friedrich Miescher Institute for Biomedical Research
- 3 more »
- « less
-
Field
-
not by artificial intelligence. 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, cutting-edge
-
, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
-
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 people from
-
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
-
most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
-
while working on a concrete project. the opportunity to get involved in cutting edge technology and contribute to a research project. possibility to be involved in a publication of the outcomes. flexible
-
all pRED screening activities, ensuring the delivery of high-quality, timely, and impactful results You ensure that our cutting-edge screening technology platforms are continuously adapted and optimized
-
assays to find innovative lead molecules. You ensure that our cutting-edge technology platforms are continuously adapted and optimized to meet the evolving demands of the next generation of targets and
-
sciences, climate and environment, energy and sustainability, physical and engineering sciences, and digital society. You will help them identify how to analyze or model their data to answer precise
-
team at the Traffic Engineering Group (SVT) of the Institute for Transport Planning and Systems (IVT), ETH Zurich. The Traffic Engineering group (SVT) of the Institute for Transport Planning and Systems