Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- Nature Careers
- ETH Zürich
- University of Zurich
- Paul Scherrer Institut Villigen
- EPFL
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- ;
- CERN - European Organization for Nuclear Research
- EPFL FSB
- ETHZ & University of Zurich
- European Magnetism Association EMA
- Fluxim AG
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies
- University of Bern
- University of California
- University of Geneva
- 10 more »
- « less
-
Field
-
vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure
-
to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. This is a Tenure Track position. The
-
to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Additional comments For further information
-
to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Your initial employment contract is limited
-
an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex
-
for further optimization in medicinal chemistry is a primary focus. We closely collaborate with our therapeutic areas and functions to convert hypotheses into innovative therapeutics. The opportunity We
-
100%, Zurich, fixed-term The Group for Sustainability and Technology (SusTec) within the Department of Management, Technology, and Economics of ETH Zurich investigates the role of policy
-
optimization of community PV systems, e-mobility, and edge data center integration at the Swiss pilot site hosted at Empa’s NEST demonstrator. The role involves coordinating the deployment and validation
-
. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
-
. This position is part of a collaborative project funded by the Swiss National Science Foundation, which supports multiple researchers, at ETH Zurich and at partner universities, and focuses on the development