Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- EPFL
- University of Basel
- ETH Zürich
- University of Zurich
- ETH ZURICH
- Empa
- University of Fribourg
- ;
- CERN
- Graduate Institute of International and Development Studies, Geneva;
- Swiss Federal Institute of Technology Lausanne, EPFL
- UniDistance Suisse
- University of Lausanne (UNIL)
- 4 more »
- « less
-
Field
-
scientific expertise and tailored services in clinical bioinformatics, software engineering, biostatistics, high-throughput screening, and data management. Working at the interface between research and
-
100%, Zurich, fixed-term Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove collaboration
-
, guiding, and manipulating electromagnetic waves. The research combines ultrafast optics, terahertz spectroscopy, nanophotonics, and electromagnetic wave engineering, with the goal of developing a unique
-
physics, quantum engineering, electrical engineering, or closely related discipline You should have a strong motivation to build a quantum computer from scratch Excellent spoken and written English
-
characterization, spectroscopy experiments, and data analysis Profile The successful candidate should be highly motivated, curious, rigorous, and creative, with an interest in addressing technically demanding
-
science, conversational AI, and marketing analytics and on substantial investments in on-premises GPU infrastructure that allows us to work with confidential partner data under full data control. The focus
-
The Binnig and Rohrer Nanotechnology Center (BRNC) at ETH Zurich is a state-of-the-art research facility providing advanced technology, infrastructure, and expertise for nanoscience and
-
) as needed Your profile University degree (Bachelor's or Master's) in Computer Science, Data Science, or a related technical field Prior experience as a TA, head TA, or in course/program coordination
-
20%-30%, Zurich, fixed-term The Strategy and Analytics Team helps ETH Zurich make decisions about teaching. We take data that exists at different levels (individual courses, degree programmes, whole
-
Loading...