256 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- EPFL
- University of Basel
- Empa
- ;
- UniDistance Suisse
- CERN
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- European Magnetism Association EMA
- Graduate Institute of International and Development Studies, Geneva;
- University of Lausanne (UNIL)
- University of Zurich
- University of Zurich;
- 3 more »
- « less
-
Field
-
hands-on experience to turn your research into practical impact. Profile You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics
-
only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits, such as public transport season tickets and car sharing, a wide
-
bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate closely with molecular
-
bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate closely with molecular
-
develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
-
on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
-
improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
-
transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and research at ETH Zurich We value diversity
-
schools, where children and adolescent research participants will complete computer-based learning tasks designed to capture metacognitive monitoring and regulation during task performance. The successful
-
and industrial project partners. You will be responsible for: Developing and adapting machine-learning approaches for structure-based and generative molecular design. Integrating physicochemical