Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- ETH Zürich
- Empa
- UNIL - Faculté des SSP
- University of Zurich
- CERN
- EPFL
- FRANKLIN UNIVERSITY SWITZERLAND
- Fachhochschule Nordwestschweiz FHNW
- Friedrich Miescher Institute for Biomedical Research
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- UniDistance Suisse
- Université de Genève
- École Polytechnique Federale Lausanne (EPFL)
- 6 more »
- « less
-
Field
-
Contract length : 2 years, renewable twice, max. 6 years Rate : 100% The Department of Computational Biology (DBC ) is internationally renowned for its excellence in research pertaining to the analysis
-
in computer science, data science, statistics, economics, or a related discipline. You are interested in working on projects that focus on competition policy, privacy, consumer protection, innovation
-
100%, Zurich, fixed-term The Engineering Design and Computing Laboratory has a fully-funded doctoral position to work on cutting-edge research projects in AI-based, generative, computational design
-
position requiring high manual dexterity and technical versatility. You will be expected to switch frequently between diverse tasks such as computational modeling, computer-aided design, manual and CNC
-
As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
-
Successful candidates are expected to run a world-class research and teaching program that emphasizes industrial translation in the field of manufacturing. We seek outstanding scientists with
-
Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
-
The work will contribute to the broader field of digital health. Accordingly, we offer the position of a Postdoctoral Researcher at the Department of Management, Technology, and Economics (MTEC
-
, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
-
scientific and engineering computing, and explores commercial pathways for software innovations. If you are looking for a role that blends technical excellence, leadership, and business strategy, we would like