Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- Nature Careers
- University of Zurich
- University of Geneva
- ; Ecole polytechnique federale de Lausanne - EPFL
- CERN
- EPFL
- EPFL FSB
- ETH ZURICH
- Ecole Polytechnique Federale de Lausanne
- INSAIT - The Institute for Computer Science
- University of Bern
- University of California
- 5 more »
- « less
-
Field
-
to solve selected problems. Code and test the proposed solution (PoC), communicate results to stakeholders, and provide final reports of the work done and related outcomes. Present data science results
-
Switzerland's position in AI innovation. Job description As a machine learning research engineer, you will be responsible for developing and maintaining software for training large-scale neural networks, such as
-
acquisitions) and exploring various imaging modes, including polarimetry, interferometry, and tomography. Numerous snow and glacier test sites are available worldwide for these topics, providing valuable ground
-
. We have a co-working, ideation, and event space and offer coaching. In addition, we have a greatly equipped Makerspace that gives students access to the tools and equipment they need to prototype. We
-
collected data Grade student answers and drawings by following a rubric Code session recordings with qualitative methods (using a predefined codebook) Collaborate with the researcher to refine the codebook as
-
experience in statistical analysis and implementing machine and deep learning models using Keras/TensorFlow and/or PyTorch. You have experience in collaborative coding, version control, and utilizing computer
-
diffusion. Job description You will work on the analysis of privacy laws worldwide. Your tasks will include: Mapping global legislation on privacy law Coding privacy laws by reading them and analyzing whether
-
of generative AI algorithms for manufacturing Collaborate with an interdisciplinary team to transform research results into innovative solutions Develop high-quality code and build the basis for our industrial AI
-
of the developments done in the context of this project. As such, it defines requirements and provides feedback on the outcomes. The advertised position is funded by EUMETNET (the European Meteorological Network
-
100%, Zurich, fixed-term We would like to announce a PhD position in molecular modeling of intrinsically disordered proteins constrained by EPR, cross-linking and NMR. Proteins in disperse and