385 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- EPFL
- Empa
- ETH Zürich
- University of Zurich
- ;
- ETH ZURICH
- University of Fribourg
- CERN
- Département de microbiologie et médecine moléculaire
- EPFL SV BMI UPRAMDYA
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- Geneva Graduate Institute
- Graduate Institute of International and Development Studies, Geneva;
- Paul Scherrer Institut Villigen
- Swiss Federal Institute of Technology Lausanne, EPFL
- UniDistance Suisse
- University of Basel (UB)
- University of Lausanne (UNIL)
- Universität Basel
- 12 more »
- « less
-
Field
-
100%, Zurich, fixed-term The Optical Materials Engineering Laboratory (Prof. David J. Norris) in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich investigates
-
developing new mass spectrometric data processing and analysis pipelines In this role, you will apply your expertise in informatics and data science to ensure the reproducibility of the data analysis performed
-
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
-
competitive research program. The Department offers dedicated laboratory and office space, BSL-2 and BSL-3 laboratories, BSL-2 animal facilities, state-of-the-art technology platforms, and opportunities
-
sensing, signal processing, human movement analysis, computational neuroscience, biomedical engineering, data science, and/or advanced quantitative behavioral research. The position is funded for three
-
), Master of Arts (MA), or Master of Philosophy (MPhil) degree in business administration, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering
-
modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
-
The PhD will form part of a broader interdisciplinary research programme in mobile health and AI, with applications in areas such as mental well-being, fall prevention, stroke rehabilitation, and
-
Loading...
-
, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in